Teses / dissertações sobre o tema "Multi-objective Design"
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Kipouros, Timoleon. "Multi-objective aerodynamic design optimisation". Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.614261.
Texto completo da fonteNezhadali, Vaheed. "Multi-objective optimization of Industrial robots". Thesis, Linköpings universitet, Maskinkonstruktion, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113283.
Texto completo da fonteLiu, Wei. "A multi-objective approach for RMT design". Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27149.
Texto completo da fonteLi, Yinjiang. "Robust multi-objective optimisation in electromagnetic design". Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/415498/.
Texto completo da fonteRamadan, Saleem Z. "Bayesian Multi-objective Design of Reliability Testing". Ohio University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1298474937.
Texto completo da fonteEl-Sayed, Jacqueline Johnson. "Multi-objective optimization of manufacturing processes design /". free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9841282.
Texto completo da fonteFaragalli, Michele. "Multi-objective design optimization of compliant lunar wheels". Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=117030.
Texto completo da fonteLe développement de la roue treillis métallique de l'Apollo Lunar Roving Vehicle a été réalisé par un processus d'essais et d'erreurs. Les récents développements de roues flexibles, motivé par un regain d'intérêt pour l'exploration lunaire, ont maintenant à leur disposition des outils de simulation numérique plus sophistiqués. Cependant, la majorité des chercheurs emploient toujours des méthodes expérimentales ou paramétriques pour développer leurs roues. Cette thèse propose une nouvelle approche systématique pour l'optimisation de concepts de roues lunaires flexibles. Le problème est décomposé en deux analyses se rapportant au niveau du système et celui des composantes. L'analyse au niveau du système étudie l'effet du comportement de la roue élastique sur des mesures de performance lors d'une mission du rover. Ceci est réalisé en optimisant les paramètres décrivant une roue flexible à l'aide de modèles multidisciplinaires. Différents concepts de roues sont explorés à l'aide de prototypes et d'essais physiques, ainsi que de modélisations numériques. La performance de chacun des concepts de roues flexibles cellulaires, iRings et segmentés sont comparées à un pneu standard. L'analyse au niveau des composantes effectue une optimisation multi-objective afin de déterminer, par le biais de simulations numériques, le concept optimal de roues flexibles cellulaires. L'efficacité de la méthodologie pour optimiser la roue cellulaire est ensuite vérifiée et les limites de cette approche sont examinées en détail. Finalement, une discussion sur l'application de la méthodologie proposée à des concepts de roues arbitraires est abordée.
Skinner, Benjamin Adam. "Multi-objective evolutionary optimisation of submarine propulsion design". Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611230.
Texto completo da fonteBrown, Nathan C. (Nathan Collin). "Early building design using multi-objective data approaches". Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123573.
Texto completo da fonteCataloged from PDF version of thesis.
Includes bibliographical references (pages 201-219).
During the design process in architecture, building performance and human experience are increasingly understood through computation. Within this context, this dissertation considers how data science and interactive optimization techniques can be combined to make simulation a more effective component of a natural early design process. It focuses on conceptual design, since technical principles should be considered when global decisions are made concerning the massing, structural system, and other design aspects that affect performance. In this early stage, designers might simulate structure, energy, daylighting, thermal comfort, acoustics, cost, and other quantifiable objectives. While parametric simulations offer the possibility of using a design space exploration framework to make decisions, their resulting feedback must be synthesized together, along with non-quantifiable design goals.
Previous research has developed optimization strategies to handle such multi-objective scenarios, but opportunities remain to further adapt optimization for the creative task of early building design, including increasing its interactivity, flexibility, accessibility, and ability to both support divergent brainstorming and enable focused performance improvement. In response, this dissertation proposes new approaches to parametric design space formulation, interactive optimization, and diversity-based design. These methods span in utility from early ideation, through global design exploration, to local exploration and optimization. The first presented technique uses data science methods to interrogate, transform, and, for specific cases, generate design variables for exploration. The second strategy involves interactive stepping through a design space using estimated gradient information, which offers designers more freedom compared to automated solvers during local exploration.
The third method addresses computational measurement of diversity within parametric design and demonstrates how such measurements can be integrated into creative design processes. These contributions are demonstrated on an integrated early design example and preliminarily validated using a design study that provides feedback on the habits and preferences of architects and engineers while engaging with data-driven tools. This study reveals that performance-enabled environments tend to improve simulated design objectives, while designers prefer more flexibility than traditional automated optimization approaches when given the choice. Together, these findings can stimulate further development in the integration of interactive approaches to multi-objective early building design. Key words: design space exploration, conceptual design, design tradeoffs, interactive design tools, structural design, sustainable design, multi-objective optimization, data science, surrogate modeling
by Nathan C. Brown.
Ph. D. in Architecture: Building Technology
Ph.D.inArchitecture:BuildingTechnology Massachusetts Institute of Technology, Department of Architecture
Paik, Sangwook. "Multi-objective optimal design of steel trusses in unstructured design domains". Thesis, Texas A&M University, 2005. http://hdl.handle.net/1969.1/3124.
Texto completo da fonteDemko, Daniel Todd. "Tools for Multi-Objective and Multi-Disciplinary Optimization in Naval Ship Design". Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/31743.
Texto completo da fonteMaster of Science
Wu, Hao, e 吴昊. "A multi-objective optimization model for green building design". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B49618155.
Texto completo da fontepublished_or_final_version
Civil Engineering
Master
Master of Philosophy
Hawe, Glenn. "Kriging methods for constrained multi-objective electromagnetic design optimization". Thesis, University of Southampton, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.444159.
Texto completo da fonteBrown, Nathan C. (Nathan Collin). "Multi-objective optimization for the conceptual design of structures". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106367.
Texto completo da fonteThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 107-113).
Using computational tools, fast and accurate predictions of building performance are increasingly possible. In parallel, the expectations of a high-performance building have been rising in contemporary architecture, as designers must synthesize many inputs to arrive at a design that fulfills a wide range of requirements. Despite the clear need for assistance in prioritizing and managing different design objectives, advances in performance analysis have not commonly translated into guidance in early stage design, as the limits of the traditional design process and a separation of disciplines have relegated performance feedback to later phases. In order to facilitate better design on a holistic level, researchers in related areas have developed multiobjective optimization (MOO), which is a methodology intended for navigating complex design spaces while managing and prioritizing multiple objectives. However, after reviewing existing design optimization research and considering current usage of optimization in AEC practice, a number of clear research questions arise: How can conceptual, architectural design problems be formulated and solved using MOO in a way that generates diverse, high-performing solutions? What is the best way for the designers of buildings and structures to interact with MOO problems? Finally, how does the use of MOO in the conceptual phase affect design possibilities and outcomes? This thesis addresses these key research questions, along with a number of secondary questions, through a combination of design case studies, tool development, user experience testing, and historical analysis. First, it presents a conceptual framework for implementing MOO within architectural parametric design tools in flexible, interactive way. Next, it shows the outcomes of a conceptual design exercise in which participants are given increasing access to performance feedback. Finally, through the application of MOO to three long span roof case studies, it demonstrates how MOO can lead to diverse, high-performing results that are difficult to generate through other means, before introducing a new way in which multi-objective techniques can be used to analyze historical structures. Together, these contributions encourage more widespread and effective use of multi-objective optimization in conceptual design, leading to better performing buildings and structures without overly constraining creative, innovative designers. Key words: multi-objective optimization, design space exploration, conceptual design, design tradeoffs, interactive design tools, structural design, embodied and operational energy.
by Nathan C. Brown.
S.M. in Building Technology
Lisk, D. M. "A multi-objective optimisation framework for missile aerodynamic design". Thesis, Queen's University Belfast, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.679038.
Texto completo da fonteCvetkovic, Dragan. "Evolutionary multi-objective decision support systems for conceptual design". Thesis, University of Plymouth, 2000. http://hdl.handle.net/10026.1/2328.
Texto completo da fonteLoosemore, Heather Anne. "The multi-objective optimum design of building thermal systems". Thesis, Loughborough University, 2002. https://dspace.lboro.ac.uk/2134/35973.
Texto completo da fonteRajagopalan, Ramesh. "A multi-objective optimization approach for sensor network design". Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2008. http://wwwlib.umi.com/cr/syr/main.
Texto completo da fonteSeeger, J., e K. Wolf. "Multi-objective design of complex aircraft structures using evolutionary algorithms". Sage, 2011. https://publish.fid-move.qucosa.de/id/qucosa%3A38441.
Texto completo da fonteDamp, Lloyd Hollis. "Multi-Objective and Multidisciplinary Design Optimisation of Unmanned Aerial Vehicle Systems using Hierarchical Asynchronous Parallel Multi-Objective Evolutionary Algorithms". Thesis, The University of Sydney, 2007. http://hdl.handle.net/2123/1858.
Texto completo da fonteDamp, Lloyd Hollis. "Multi-Objective and Multidisciplinary Design Optimisation of Unmanned Aerial Vehicle Systems using Hierarchical Asynchronous Parallel Multi-Objective Evolutionary Algorithms". University of Sydney, 2007. http://hdl.handle.net/2123/1858.
Texto completo da fonteThe overall objective of this research was to realise the practical application of Hierarchical Asynchronous Parallel Evolutionary Algorithms for Multi-objective and Multidisciplinary Design Optimisation (MDO) of UAV Systems using high fidelity analysis tools. The research looked at the assumed aerodynamics and structures of two production UAV wings and attempted to optimise these wings in isolation to the rest of the vehicle. The project was sponsored by the Asian Office of the Air Force Office of Scientific Research under contract number AOARD-044078. The two vehicles wings which were optimised were based upon assumptions made on the Northrop Grumman Global Hawk (GH), a High Altitude Long Endurance (HALE) vehicle, and the General Atomics Altair (Altair), Medium Altitude Long Endurance (MALE) vehicle. The optimisations for both vehicles were performed at cruise altitude with MTOW minus 5% fuel and a 2.5g load case. The GH was assumed to use NASA LRN 1015 aerofoil at the root, crank and tip locations with five spars and ten ribs. The Altair was assumed to use the NACA4415 aerofoil at all three locations with two internal spars and ten ribs. Both models used a parabolic variation of spar, rib and wing skin thickness as a function of span, and in the case of the wing skin thickness, also chord. The work was carried out by integrating the current University of Sydney designed Evolutionary Optimiser (HAPMOEA) with Computational Fluid Dynamics (CFD) and Finite Element Analysis (FEA) tools. The variable values computed by HAPMOEA were subjected to structural and aerodynamic analysis. The aerodynamic analysis computed the pressure loads using a Boeing developed Morino class panel method code named PANAIR. These aerodynamic results were coupled to a FEA code, MSC.Nastran® and the strain and displacement of the wings computed. The fitness of each wing was computed from the outputs of each program. In total, 48 design variables were defined to describe both the structural and aerodynamic properties of the wings subject to several constraints. These variables allowed for the alteration of the three aerofoil sections describing the root, crank and tip sections. They also described the internal structure of the wings allowing for variable flexibility within the wing box structure. These design variables were manipulated by the optimiser such that two fitness functions were minimised. The fitness functions were the overall mass of the simulated wing box structure and the inverse of the lift to drag ratio. Furthermore, six penalty functions were added to further penalise genetically inferior wings and force the optimiser to not pass on their genetic material. The results indicate that given the initial assumptions made on all the aerodynamic and structural properties of the HALE and MALE wings, a reduction in mass and drag is possible through the use of the HAPMOEA code. The code was terminated after 300 evaluations of each hierarchical level due to plateau effects. These evolutionary optimisation results could be further refined through a gradient based optimiser if required. Even though a reduced number of evaluations were performed, weight and drag reductions of between 10 and 20 percent were easy to achieve and indicate that the wings of both vehicles can be optimised.
Vadamodala, Lavanya. "Reliability Based Multi-Objective Design Optimization for Switched Reluctance Machines". University of Akron / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=akron162033146640203.
Texto completo da fonteGood, Nathan Andrew. "Multi-Objective Design Optimization Considering Uncertainty in a Multi-Disciplinary Ship Synthesis Model". Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/34532.
Texto completo da fonteMaster of Science
Sánchez, Corrales Helem Sabina. "Multi-objective optimization and multicriteria design of PI /PID controllers". Doctoral thesis, Universitat Autònoma de Barcelona, 2016. http://hdl.handle.net/10803/393990.
Texto completo da fonteNowadays, the proportional integral and proportional integral derivatives are the most used control algorithm in the industry. Moreover, the fractional controllers have received attention recently for both, the research community and from the industrial point of view. Owing to this, in this thesis some of the scenarios involve the tuning of these controllers by using the Multiobjective Optimization Design procedure. This procedure focuses on providing reasonable trade-off among the conflictive objectives and brings the designer the possibility to appreciate the comparison of the design objectives. This thesis is divided in three parts. The first part, presented the fundamentals of the control system showing and discussing the different trade-offs between performance/robustness and servo/regulation operation modes. On the other hand a background on multi-objective optimization has been provided. The second part, introduces the Nash solution as a multi-criteria decision making technique, to select a point from the Pareto front that represent the best compromise among the design objective. This solution provides a semi-automatic selection from the Pareto front approximation and offers a good trade-off between the goal objectives. Hereafter, a Multi-stage approach for the multi-objective optimization process is presented. This approach involves two algorithms: a deterministic and evolutionary algorithm. In which both algorithms complement each other in despite of their drawbacks and improve the results of the overall optimization in terms of convergence and accuracy. Further, the introduction of reliability based objective into the multi-objective problem is carried out, to measure the performance degradation. It is worthwhile to mention that, due to the existence of uncertainties in real-world designing and manufacturing having this design objective will give another perspective to the designer. In order to validate the approach, two different case studies has been considered, the Boiler control problem for controller tuning and as second case, a non-linear Peltier Cell. Finally, the third part of this thesis, the contributions on controller tuning have been presented. First, a set of tuning rules based on the NS for a proportional-integral (PI) controller have been devised, where the robustness/performance trade-off have been considered. Moreover, as a second case it is presented a tuning for proportional-integral-derivative controller where the trade-off of the performance/robustness and servo/regulation operation mode has been considered. Moreover, the fractional-order-proportional-integral-derivative controller is tuned by using the Multi-stage approach for the MOO process.
Ray, Subhasis. "Multi-objective optimization of an interior permanent magnet motor". Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=116021.
Texto completo da fonteBailey, Breanna Michelle Weir. "Incorporating user design preferences into multi-objective roof truss optimization". Texas A&M University, 2003. http://hdl.handle.net/1969.1/5932.
Texto completo da fonteGoteng, Gokop. "Development of a grid service for multi-objective design optimisation". Thesis, Cranfield University, 2009. http://dspace.lib.cranfield.ac.uk/handle/1826/4423.
Texto completo da fonteSaddawi, Salwan David. "Multi-objective computational engineering design optimisation for micro-combustor devices". Thesis, Cranfield University, 2013. http://dspace.lib.cranfield.ac.uk/handle/1826/7958.
Texto completo da fonteThis thesis describes the development of a multi-objective automated optimisation system to be used for the design optimisation of micro-scale combustion devices. The developed system described within integrates a commercial computational fluid dynamics package and a multi-objective variant of the Tabu Search optimisation algorithm for continuous problems, which is a heuristic optimisation technique that exhibits local search characteristics. Recent advances in micro-fabrication techniques have resulted in increasing interest from industry and academia to investigate the possibility of replacing the current conventional power supply “battery” with a miniaturised combustion power generation system based on micro-electro-mechanical systems (MEMS) technology. The microcombustor is one of the crucial components of such a power system. The aim is to improve the main micro-scale combustor design characteristics and to satisfy manufacturability considerations from the very beginning of the whole design process. The main combustor design requirements, challenges and design parameters that influence the device performance at a micro-scale were first defined. Within the optimisation design cycle a robust parameterisation scheme, the geometry and numerical grid representations were implemented. These were achieved by incorporating the knowledge gained from the parametric design study by understanding the design space in depth and identifying issues and their solutions during this design study such as geometry overlapping and mesh refinement. Cont/d.
Hancock, Simon David. "Gas turbine engine controller design using multi-objective optimization techniques". Thesis, Bangor University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304616.
Texto completo da fonteChong, Gregory Chow Ye. "Trajectory-scheduling control systems and their multi-objective design automation". Thesis, University of Glasgow, 2006. http://theses.gla.ac.uk/3728/.
Texto completo da fonteRaad, Darian Nicholas. "Multi-objective optimisation of water distribution systems design using metaheuristics". Thesis, Stellenbosch : University of Stellenbosch, 2011. http://hdl.handle.net/10019.1/6617.
Texto completo da fonteENGLISH ABSTRACT: The design of a water distribution system (WDS) involves finding an acceptable trade-off between cost minimisation and the maximisation of numerous system benefits, such as hydraulic reliability and surplus capacity. The primary design problem involves cost-effective specifica- tion of a pipe network layout and pipe sizes (which are typically available in a discrete set of commercial diameters) in order to satisfy expected consumer water demands within required pressure limits. The problem may be extended to consider the design of additional WDS com- ponents, such as reservoirs, tanks, pumps and valves. Practical designs must also cater for the uncertainty of demand, the requirement of surplus capacity for future growth, and the hydraulic reliability of the system under different demand and potential failure conditions. A detailed literature review of exact and approximate approaches towards single-objective (minimum cost) WDS design optimisation is provided. Essential topics which have to be included in any modern WDS design paradigm (such as demand estimation, reliability quantification, tank design and pipe layout) are discussed. A number of formative concepts in multi-objective evo- lutionary optimisation are also reviewed (including a generic problem formulation, performance evaluation measures, comparative testing strategies, and suitable classes of metaheuristics). The two central themes of this dissertation are conducting multi-objective WDS design optimi- sation using metaheuristics, and a critical examination of surrogate measures used to quantify WDS reliability. The aim in the first theme is to compare numerous modern metaheuristics, in- cluding several multi-objective evolutionary algorithms, an estimation of distribution algorithm and a recent hyperheuristic named AMALGAM (an evolutionary framework for the simulta- neous incorporation of multiple metaheuristics applied here for the first time to a real-world problem), in order to determine which approach is most capable with respect to WDS design optimisation. Several novel metaheuristics are developed, as well as a number of new variants of existing algorithms, so that a total of twenty-three algorithms were compared. Testing with respect to eight small-to-large-sized WDS benchmarks from the literature reveals that the four top-performing algorithms are mutually non-dominated with respect to the vari- ous performance metrics. These algorithms are NSGA-II, TAMALGAMJndu, TAMALGAMndu and AMALGAMSndp (the last three being novel variants of AMALGAM). However, when these four algorithms are applied to the design of a very large real-world benchmark, the AMALGAM paradigm outperforms NSGA-II convincingly, with AMALGAMSndp exhibiting the best perfor- mance overall. As part of this study, a novel multi-objective greedy algorithm is developed by combining several heuristic design methods from the literature in order to mimic the design strategy of a human engineer. This algorithm functions as a powerful local search. However, it is shown that such an algorithm cannot compete with modern metaheuristics, which employ advanced strategies in order to uncover better solutions with less computational effort. The second central theme involves the comparison of several popular WDS reliability surro- gate measures (namely the Resilience Index, Network Resilience, Flow Entropy, and a novel mixed surrogate measure) in terms of their ability to produce designs that are robust against pipe failure and water demand variation. This is the first systematic study on a number of WDS benchmarks in which regression analysis is used to compare reliability surrogate measures with probabilistic reliability typically derived via simulation, and failure reliability calculated by considering all single-pipe failure events, with both reliability types quantified by means of average demand satisfaction. Although no single measure consistently outperforms the others, it is shown that using the Resilience Index and Network Resilience yields designs that achieve a better positive correlation with both probabilistic and failure reliability, and while the Mixed Surrogate measure shows some promise, using Flow Entropy on its own as a quantifier of re- liability should be avoided. Network Resilience is identified as being a superior predictor of failure reliability, and also having the desirable property of supplying designs with fewer and less severe size discontinuities between adjacent pipes. For this reason, it is recommended as the surrogate measure of choice for practical application towards design in the WDS industry. AMALGAMSndp is also applied to the design of a real South African WDS design case study in Gauteng Province, achieving savings of millions of Rands as well as significant reliability improvements on a preliminary engineered design by a consulting engineering firm.
AFRIKAANSE OPSOMMING: Die ontwerp van waterverspreidingsnetwerke (WVNe) behels die soeke na ’n aanvaarbare afruiling tussen koste-minimering en die maksimering van ’n aantal netwerkvoordele, soos hidroliese betroubaarheid en surpluskapasiteit. Die primere ontwerpsprobleem behels ’n koste-doeltreffende spesifikasie van ’n netwerkuitleg en pypgroottes (wat tipies in ’n diskrete aantal kommersiele deursnedes beskikbaar is) wat aan gebruikersaanvraag binne sekere drukspesifikasies voldoen. Die probleem kan uitgebrei word om die ontwerp van verdere WVN-komponente, soos op- gaardamme, opgaartenks, pompe en kleppe in ag te neem. Praktiese WVN-ontwerpe moet ook voorsiening maak vir onsekerheid van aanvraag, genoegsame surpluskapsiteit vir toekom- stige netwerkuitbreidings en die hidroliese betroubaarheid van die netwerk onder verskillende aanvraag- en potensiele falingsvoorwaardes. ’n Omvattende literatuurstudie word oor eksakte en benaderde oplossingsbenaderings tot enkel- doelwit (minimum koste) WVN-ontwerpsoptimering gedoen. Sentrale temas wat by heden- daagse WVN-ontwerpsparadigmas ingesluit behoort te word (soos aanvraagvooruitskatting, die kwantifisering van betroubaarheid, tenkontwerp en netwerkuitleg), word uitgelig. ’n Aantal basiese konsepte in meerdoelige evolusionˆere optimering (soos ’n generiese probleemformulering, werkverrigtingsmaatstawwe, vergelykende toetsingstrategie¨e, en sinvolle klasse metaheuristieke vir WVN-ontwerp) word ook aangeraak. Die twee sentrale temas in hierdie proefskrif is meerdoelige WVN-ontwerpsoptimering deur mid- del van metaheuristieke, en ’n kritiese evaluering van verskeie surrogaatmaatstawwe vir die kwantifisering van netwerkbetroubaarheid. Die doel in die eerste tema is om ’n aantal moderne metaheuristieke, insluitend verskeie meerdoelige evolusionere algoritmes en die onlangse hiper- heuristiek AMALGAM (’n evolusionere raamwerk vir die gelyktydige insluiting van ’n aantal metaheuristieke wat hier vir die eerste keer op ’n praktiese probleem toegepas word), met mekaar te vergelyk om sodoende ’n ideale benadering tot WVN-ontwerpoptimering te identi- fiseer. Verskeie nuwe metaheuristieke sowel as ’n aantal nuwe variasies op bestaande algoritmes word ontwikkel, sodat drie en twintig algoritmes in totaal met mekaar vergelyk word. Toetse aan die hand van agt klein- tot mediumgrootteWVN-toetsprobleme uit die literatuur dui daarop dat die vier top algoritmes mekaar onderling ten opsigte van verskeie werkverrigtings- maatstawwe domineer. Hierdie algoritmes is NSGA-II, TAMALGAMJndu, TAMALGAMndu en AMALGAMSndp, waarvan laasgenoemde drie nuwe variasies op AMALGAM is. Wanneer hierdie vier algoritmes egter vir die ontwerp van ’n groot WVN-toetsprobleem ingespan word, oortref die AMALGAM-paradigma die NSGA-II oortui-gend, en lewer AMALGAMSndp die beste resultate. As deel van hierdie studie is ’n nuwe meerdoelige gulsige algoritme ontwerp wat verskeie heuristiese ontwerpsmetodologiee uit die literatuur kombineer om sodoende die on- twerpstrategie van ’n ingenieur na te boots. Hierdie algoritme funksioneer as ’n kragtige lokale soekprosedure, maar daar word aangetoon dat die algoritme nie met moderne metaheuristieke, wat gevorderde soekstrategie¨e inspan om beter oplossings met minder berekeningsmoeite daar te stel, kan meeding nie. Die tweede sentrale tema behels die vergelyking van ’n aantal gewilde surrogaatmaatstawwe vir die kwantifisering van WVN-betroubaarheid (naamlik die elastisiteitsindeks, netwerkelastisiteit, vloei-entropie en ’n gemengde surrogaatmaatstaf ) in terme van die mate waartoe hul gebruik kan word om WVNe te identifiseer wat robuust is ten opsigte van pypfaling en variasie in aanvraag. Hierdie proefskrif bevat die eerste sistematiese vergelyking deur middel van regressie-analise van ’n aantal surrogaatmaatstawwe vir die kwantifisering van WVN-betroubaarheid en stogastiese betroubaarheid (wat tipies via simulasie bepaal word) in terme van ’n aantal toetsprobleme in die literatuur. Alhoewel geen enkele maatstaf as die beste na vore tree nie, word daar getoon dat gebruik van die elastisiteitsindeks en netwerkelastisiteit lei na WNV-ontwerpe met ’n groter positiewe korrelasie ten opsigte van beide stogastiese betroubaarheid en falingsbetroubaarheid. Verder toon die gebruik van die gemengde surrogaatmaatstaf potensiaal, maar die gebruik van vloei-entropie op sy eie as kwantifiseerder van betroubaarheid behoort vermy te word. Netwerkelastisiteit word as ’n hoe-gehalte indikator van falingsbetroubaarheid geidentifiseer en het ook die eienskap dat dit daartoe instaat is om ontwerpe met ’n kleiner aantal diskontinuiteite sowel as van ’n minder ekstreme graad van diskontinuiteite tussen deursnedes van aangrensende pype daar te stel. Om hierdie rede word netwerkelastisiteit as die surogaatmaatstaf van voorkeur aanbeveel vir toepassings van WVN-ontwerpe in die praktyk. AMALGAM word ook ten opsigte van ’n werklike Suid-Afrikaanse WVN-ontwerp gevallestudie in Gauteng toegepas. Hierdie toepassing lei na die besparing van miljoene rande asook noe- menswaardige verbeterings in terme van netwerkbetroubaarheid in vergeleke met ’n aanvanklike ingenieursontwerp deur ’n konsultasiefirma.
Wang, Cong. "Optimal Design of District Energy Systems: a Multi-Objective Approach". Licentiate thesis, KTH, Installations- och energisystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192948.
Texto completo da fonteQC 20160923
Mierzwicki, Timothy Stephen. "Risk Index for Multi-Objective Design Optimization of Naval Ships". Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/31742.
Texto completo da fonteMaster of Science
Hinckley, David William. "Multi-Objective Optimization Mission Design for Small-Body Coverage Missions". ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/1132.
Texto completo da fonteWeber, A., S. Fasoulas e K. Wolf. "Conceptual interplanetary space mission design using multi-objective evolutionary optimization and design grammars". Sage, 2011. https://publish.fid-move.qucosa.de/id/qucosa%3A38443.
Texto completo da fonteGonzalez, Luis F. "Robust evolutionary methods for multi-objective and multdisciplinary design optimisation in aeronautics". Phd thesis, School of Aerospace, Mechanical and Mechatronic Engineering, 2005. http://hdl.handle.net/2123/6296.
Texto completo da fonteOzdemir, Segah. "Multi Objective Conceptual Design Optimization Of An Agricultural Aerial Robot (aar)". Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606610/index.pdf.
Texto completo da fontePathi, Soumya Sundar. "Investigation of genetic algorithm design representation for multi-objective truss optimization". Texas A&M University, 2006. http://hdl.handle.net/1969.1/4430.
Texto completo da fonteMargonis, Sotirios. "Preliminary design of an autonomous underwater vehicle using multi-objective optimization". Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/41415.
Texto completo da fonteThe aim of this work is to explore the applicability and usability of multi-objective optimization into various aspects of the design of an autonomous underwater vehicle (AUV). First, I begin with an introduction of the systems engineering design process and the background work for the multi-objective optimization process. Furthermore, I investigate and analyze the existing multi-objective optimization methods in decision making. I focus on various design aspects of an AUV such as the hull design, the weight distribution, the propulsion and, especially, the power supply technology. The objectives I used in the model are the minimization of the power needed to propel the vehicle and the maximization of both the weight of the energy section and the total range. Implementation of both the model and the optimization are carried out using Matlab, particularly the global optimization toolbox and the multi-objective genetic algorithm solver, whereas a special case of two objectives is implemented in Excel using Visual Basic and Excel solver. This research also explores the potential for a designer to use goals in the multi-objective optimization as well as approaches that let a designer choose one particular solution once all Pareto optimal solutions are found.
Trapani, Giuseppe. "The design of high lift aircraft configurations through multi-objective optimisation". Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/8831.
Texto completo da fonteMerello, Riccardo. "Design of a building structural skin using multi-objective optimization techniques". Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/34591.
Texto completo da fonteIncludes bibliographical references (leaves 56-57).
Multi-disciplinary System Design Optimization was used to design the geometry and to select the materials for the structural facade of a building. A multi-objective optimization model was developed, capable of optimizing the design of the facade on the basis of a lighting analysis of the interior, of a thermal analysis of the cooling loads corresponding to the skin configuration, and of a finite elements analysis of the supporting structure. The system also considers the need for transparency in the facade due to view requirements of the occupants, and the cost of cladding materials. A scalarization approach to MDO, via utility functions, was chosen, and the overall objective function was optimized using Genetic Algorithms.
by Riccardo Merello.
M.Eng.
Tan, Melody M. Eng Massachusetts Institute of Technology. "Quantifying and integrating constructability into multi-objective steel floor framing design". Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/104244.
Texto completo da fonteCataloged from PDF version of thesis. "June 2016."
Includes bibliographical references (pages 51-52).
This thesis explores the benefits and tradeoffs of two significant constructability considerations in structural steel floor framing design. A new constructability strategy combining both standardization and steel availability is proposed, providing a clear, quantitative methodology for constructability integration. This strategy can be easily incorporated into various projects and software implementations to be used in structural engineering design practices. Analysis of this methodology also indicates that structural weight tradeoffs remain fairly insignificant, allowing standardization down to approximately 20-30% of the initial number of unique sections with less than a 20% increase in structural weight. Thus, this thesis establishes a new multi-objective approach to steel floor framing design and promotes a better understanding of buildability integration for more efficient and economical structural design solutions. Keywords: constructability, buildability, standardization, availability, structural steel floor framing, culling, multi-objective design
by Melody Tan.
M. Eng.
Afshari, Hamid. "Multi-objective optimal design of sustainable products and systems under uncertainty". American Society of Mechanical Engineering (ASME), 2013. http://hdl.handle.net/1993/31959.
Texto completo da fonteFebruary 2017
Hou, Shangjie. "An ontology-based holistic approach for multi-objective sustainable structural design". Thesis, Cardiff University, 2015. http://orca.cf.ac.uk/91138/.
Texto completo da fonteKeskin, Akin. "Process integration and automated multi-objective optimization supporting aerodynamic compressor design". Aachen : Shaker, 2006. http://d-nb.info/997500840/34.
Texto completo da fonteDedman, Phoebe Elizabeth. "Design of a Multi-objective Landing Trajectory Using Artificial Neural Networks". Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10837984.
Texto completo da fonteDuring approach and landing, the HL-20 follows a typical reusable launch vehicle (RLV) autoland trajectory: deep descent, followed by a parabolic flare, and final descent. The trajectory shape is determined by six independent parameters. An artificial neural network (ANN) is designed to generate the trajectory parameters for the HL-20 based on desired objectives using MATLAB®’s Neural Network Toolbox. This research examines three mission objectives: specifying flight time, specifying the final downrange position error, and specifying the average error between the desired angle of attack and actual angle of attack. The ANN successfully produces parameters that meet mission objectives and, in some cases, improve upon nominal errors. It is also demonstrated that the ANN structure and ANN training vectors have a profound impact on the success of the neural network.
Limaye, Ameya Shankar. "Multi-objective process planning method for Mask Projection Stereolithography". Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19717.
Texto completo da fonteShang, Jing. "MULTI-DOMAIN, MULTI-OBJECTIVE-OPTIMIZATION-BASED APPROACH TO THE DESIGN OF CONTROLLERS FOR POWER ELECTRONICS". UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/52.
Texto completo da fonteMurphy, Jonathan Rodgers. "A robust multi-objective statistical improvement approach to electric power portfolio selection". Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45946.
Texto completo da fonteJones, Dylan Francis. "The design and development of an intelligent goal programming system". Thesis, University of Portsmouth, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.282556.
Texto completo da fonte