Academic literature on the topic 'Optimal Layout Problems'
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Journal articles on the topic "Optimal Layout Problems":
Nisted, Lasse, David Pisinger, and Avri Altman. "Optimal wafer cutting in shuttle layout problems." Journal of Combinatorial Optimization 22, no. 2 (January 28, 2010): 202–16. http://dx.doi.org/10.1007/s10878-009-9284-z.
Lurie, K. A. "Direct relaxation of optimal layout problems for plates." Journal of Optimization Theory and Applications 80, no. 1 (January 1994): 93–116. http://dx.doi.org/10.1007/bf02196595.
Liu, Shu Yuan. "The Application of Layout Heuristic Optimization Algorithm in Operational Model." Advanced Materials Research 753-755 (August 2013): 1914–17. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.1914.
Hills, W., M. Barlow, and G. Cleland. "Layout Design of Large Made-To-Order Products Using a Knowledge-Based System." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 207, no. 4 (November 1993): 257–63. http://dx.doi.org/10.1243/pime_proc_1993_207_088_02.
Munavalli, Jyoti R., Shyam Vasudeva Rao, Aravind Srinivasan, and Frits Van Merode. "Dynamic Layout Design Optimization to Improve Patient Flow in Outpatient Clinics Using Genetic Algorithms." Algorithms 15, no. 3 (March 6, 2022): 85. http://dx.doi.org/10.3390/a15030085.
Hsie, Machine, Ming-Yen Wu, and Chun Yen Huang. "Optimal urban sewer layout design using Steiner tree problems." Engineering Optimization 51, no. 11 (January 22, 2019): 1980–96. http://dx.doi.org/10.1080/0305215x.2018.1560436.
Gu, Jinjin, Yuan Cao, Min Wu, Min Song, and Lin Wang. "A Novel Method for Watershed Best Management Practices Spatial Optimal Layout under Uncertainty." Sustainability 14, no. 20 (October 12, 2022): 13088. http://dx.doi.org/10.3390/su142013088.
Irawan, Heri Tri, Bismi Khairijal, Iing Pamungkas, T. M. Azis Pandria, Arhami Arhami, Hasnita Hasnita, and Risnadi Irawan. "Perancangan Ulang Tata Letak pada Galangan Kapal Tradisional menggunakan Blocplan-90." Jurnal Optimalisasi 9, no. 2 (October 15, 2023): 148. http://dx.doi.org/10.35308/jopt.v9i2.8325.
CHEN, DANNY Z., XIAOBO S. HU, and XIAODONG WU. "OPTIMAL POLYGON COVER PROBLEMS AND APPLICATIONS." International Journal of Computational Geometry & Applications 12, no. 04 (August 2002): 309–38. http://dx.doi.org/10.1142/s0218195902000918.
KOUVELIS, PANAGIOTIS, WEN-CHYUAN CHIANG, and GANG YU. "Optimal algorithms for row layout problems in automated manufacturing systems." IIE Transactions 27, no. 1 (February 1995): 99–104. http://dx.doi.org/10.1080/07408179508936721.
Dissertations / Theses on the topic "Optimal Layout Problems":
Gamot, Juliette. "Algorithms for Conditional Search Space Optimal Layout Problems." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILB042.
This thesis falls within the scope of layout optimization, which is an important stage in the design of complex multidisciplinary engineering systems such as aerospace vehicles. Optimal layout problems (OLPs) involve finding the best arrangement of a set of components within a single- or multi-container system or space to meet specific objectives (cost reduction, performance enhancement, etc.) while satisfying various constraints (geometrical, functional, etc.). Dealing with OLPs is challenging both in terms of their formulation and their efficient and effective resolution. Actually, OLPs are often highly constrained and involve many mixed decision variables (continuous, discrete/categorial) which may be fixed or conditional. Conditional variables are highly useful to define different design choices when the set of components to be arranged is variable and dynamic. Consequently, their resolution requires the use of advanced optimization algorithms combining different classes of (mixed-variable) methods including metaheuristics and Bayesian optimization.The overall objective of the thesis is to investigate OLPs, their formulation in different contexts, their resolution using various optimization methods and their hybridization, and their validation within the framework of aerospace vehicle design. The contributions of the thesis are organized in two parts corresponding to two types of OLPs. In the first (resp. second) part, the set of components to be arranged is fixed (variable or conditional) involving fixed search space OLPs or FSS-OLPs (resp. conditional search space OLPs or CSS-OLPs). In both cases, the system/space in which the components are arranged is considered single- or multi-container.In the first part, a survey of constrained mixed-variable FSS-OLPs is proposed including their generic formulations, applications and resolution methods with a particular focus on quasi-physical methods and population-based metaheuristics. Based on a virtual force system (VF) quasi-physical algorithms emulate the principle of physical laws in system dynamics and deal efficiently with highly constrained problems. A variant (namely CSO-VF) of these algorithms is devised for solving single-container FSS-OLPs. In CSO-VF, the positions and orientations of the components are evolved using VF. To deal with multi-container systems, CSO-VF is combined with a Genetic Algorithm (GA) in a two-stage algorithm that assigns the components to the containers and optimizes their layout. These single- and multi-container algorithms are assessed considering satellite module FSS-OLPs that are representative benchmarks.In the second part, a survey of constrained mixed-variable CSS-OLPs is proposed in the same way than in the first part. Conditional variables involve more complex OLPs. Actually, for instance, in the context of aerospace concept design, a given amount of fuel could be included in a container in either one large tank or two smaller ones. Therefore, as the number of components to position is not the same in both cases the number of design variables as well as constraint functions vary during the optimization process. To deal with single-container CSS-OLPs, two approaches have been investigated: the first one is a GA revisited considering hidden variables, leading to variable-geometry OLPs (in objective and constraint functions). The second approach is a two-stage surrogate guided-CSO-VF algorithm combining Bayesian Optimization with CSO-VF. Bayesian Optimization selects the components with are considered by CSO-VF for layout optimization. This latter approach has been extended with a GA in a three-stage algorithm to tackle multi-container CSS-OLPs. Finally, all the algorithms are evaluated and compared based on their application to CSS variants of satellite module OLPs
Wu, Ming-Yen, and 吳明岩. "Optimal urban sewer layout design using Obstacle-Avoiding Rectilinear Minimal Steiner Tree problems." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9vrap9.
國立中興大學
土木工程學系所
107
Abstract This paper introduces a novel method for optimizing sewer layouts. The study obtained the concept from an integrated circuit electronic routing design technique known as the obstacle-avoiding rectilinear Steiner minimal tree method and then solved the developed model problem using mixed integer linear programming. The sewer layout must be designed on the basis of the force of gravity, and sewerage should be carried from each sewer discharge nodes. However, the Steiner nodes serve as optional nodes to link each discharge node and flow to sinks in the main stream. The Steiner nodes are utilized for minimizing the total cost required for installing pipes by cutting the ground and the total cost of sewer pipes. The sewer layout should contain the shortest pipe distribution at the flattest acceptable slope, and the pipe should be installed closest to the ground surface. However, the ground elevation and the depths at which pipes are buried should be seriously considered during the layout design because the ground cutting volume is highly related to total costs. The constraints are subject to the acceptable pipe slopes between the recommended minimum and maximum slopes and the minimum depth at which the pipe is buried. The study constructs two 3D consideration models for optimizing sewer layout design; two stages style and whole stage style. After the comparison, the whole stage style can get the better solution. Furthermore, all the nonlinear constraints and the objective function of the whole stage style are transformed into a simple linear format. The study analysed three types of optimizations including Type A: only considering the minimum cost of the pipe on the objective function, Type B: only considering the minimum cost of cutting the ground, and Type C: considering the minimum total cost of both pipes and cutting the earth to illustrate the importance of considering all conditions to obtain an optimal sewer layout design. The proposed optimization model can save more than 38.83% of the cost required to realize the expert’s manual sewer layout design.
Book chapters on the topic "Optimal Layout Problems":
Avhad, Akshay, Casper Schou, and Ole Madsen. "Topology Planning in Swarm Production System: Framework and Optimization." In Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains, 133–48. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27933-1_13.
Mo, Fan, Jack C. Chaplin, David Sanderson, Hamood Ur Rehman, Fabio Marco Monetti, Antonio Maffei, and Svetan Ratchev. "A Framework for Manufacturing System Reconfiguration Based on Artificial Intelligence and Digital Twin." In Lecture Notes in Mechanical Engineering, 361–73. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_35.
Klar, M., J. Mertes, M. Glatt, B. Ravani, and J. C. Aurich. "A Holistic Framework for Factory Planning Using Reinforcement Learning." In Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes, 129–48. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-35779-4_8.
Ripon, Kazi Shah Nawaz, Kyrre Glette, Omid Mirmotahari, Mats Høvin, and Jim Tørresen. "Pareto Optimal Based Evolutionary Approach for Solving Multi-Objective Facility Layout Problem." In Neural Information Processing, 159–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10684-2_18.
Ripon, Kazi Shah Nawaz, Kyrre Glette, Mats Høvin, and Jim Torresen. "A Genetic Algorithm to Find Pareto-optimal Solutions for the Dynamic Facility Layout Problem with Multiple Objectives." In Neural Information Processing. Theory and Algorithms, 642–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17537-4_78.
Nagarajan, Lenin, Siva Kumar Mahalingam, Gurusamy Selvakumar, and Jayakrishna Kandasamy. "Solution for Multi-Objective Single Row Facility Layout Problem Using PSO Algorithm." In Advances in Civil and Industrial Engineering, 214–42. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7206-1.ch014.
Takei, A., R. Nishiura, T. Oka, S. Hayano, and Y. Saito. "Optimal sensor layout for minimum norm approach to searching for radioactive source distribution -One dimensional case-." In Inverse Problems in Engineering Mechanics, 503–8. Elsevier, 1998. http://dx.doi.org/10.1016/b978-008043319-6/50057-1.
Ochoa-Zezzatti, Alberto, Tania Olivier, Raymundo Camarena, Guadalupe Gutiérrez, Daniel Axpeitia, and Irving Vázque. "Intelligent Drones Improved With Algae Algorithm." In Handbook of Research on Emergent Applications of Optimization Algorithms, 279–97. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2990-3.ch012.
Ochoa Ortiz-Zezzatti, Alberto, Tania Olivier, Raymundo Camarena, Guadalupe Gutiérrez, Daniel Axpeitia, and Irving Vázque. "Intelligent Drones Improved With Algae Algorithm." In Unmanned Aerial Vehicles, 1–19. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8365-3.ch001.
Lurie, K. A. "DIRECT RELAXATION OF OPTIMAL LAYOUT PROBLEMS FOR PLATES11This paper is dedicated to Professor Frithiof I. Niordson on the occasion of his 70th birthday. The research has been supported by AFOSR Grant No. 90-0268. The author acknowledges fruitful discussions with Robert P. Lipton." In Optimal Design with Advanced Materials, 425–45. Elsevier, 1993. http://dx.doi.org/10.1016/b978-0-444-89869-2.50033-0.
Conference papers on the topic "Optimal Layout Problems":
Bénabès, Julien, Benoît Guédas, Emilie Poirson, and Fouad Bennis. "Indicator of Feasibility for Layout Problems." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-70640.
Be´nabe`s, Julien, Emilie Poirson, Fouad Bennis, and Yannick Ravaut. "Interactive Modular Optimization Strategy for Layout Problems." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47925.
Fu, Yong, and Hae Chang Gea. "Optimal Layout of Shell Stiffeners With Frequency Design Considerations." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0032.
Szykman, Simon, and Jonathan Cagan. "A Simulated Annealing-Based Approach to Three Dimensional Component Packing." In ASME 1994 Design Technical Conferences collocated with the ASME 1994 International Computers in Engineering Conference and Exhibition and the ASME 1994 8th Annual Database Symposium. American Society of Mechanical Engineers, 1994. http://dx.doi.org/10.1115/detc1994-0140.
Fujita, Kikuo, Shinsuke Akagi, and Noriyasu Hirokawa. "Hybrid Approach for Optimal Nesting Using a Genetic Algorithm and a Local Minimization Algorithm." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0337.
Wang, C. M., Z. J. Yao, A. M. Hee, and W. L. Tan. "Optimal Layout of Gill Cells for Very Large Floating Structures." In ASME 2007 26th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2007. http://dx.doi.org/10.1115/omae2007-29762.
Quan, Ning, and Harrison Kim. "A Tight Upper Bound for Grid-Based Wind Farm Layout Optimization." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59712.
Gamot, Juliette, Mathieu Balesdent, Romain Wuilbercq, Arnault Tremolet, Nouredine Melab, and El-Ghazali Talbi. "Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout Problems." In GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3583133.3596997.
Yin, Su, and Jonathan Cagan. "A Pattern Search-Based Algorithm for Three-Dimensional Component Layout." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dac-5582.
Yu, Chan, and Souran Manoochehri. "Overlap Detection Using Minkowski Sum in Two-Dimensional Layout." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8570.