Rozprawy doktorskie na temat „Genetic algorithms and fuzzy logic”
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Karaboga, Dervis. "Design of fuzzy logic controllers using genetic algorithms". Thesis, Cardiff University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.296639.
Pełny tekst źródłaTsang, Yiu-ming. "Intelligent polishing using fuzzy logic and genetic algorithm". View the Table of Contents & Abstract, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37206400.
Pełny tekst źródłaTsang, Yiu-ming, i 曾耀明. "Intelligent polishing using fuzzy logic and genetic algorithm". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B38589291.
Pełny tekst źródłaMahmoud, Abdallah Abdel-Rahman Hassan. "Identification of human gait using genetic algorithms tuned fuzzy logic". To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.
Pełny tekst źródłaCuddy, Steven John. "The development of genetic algorithms and fuzzy logic for geoscience applications". Thesis, University of Aberdeen, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275019.
Pełny tekst źródłaChwee, Ng Kim. "Switching control systems and their design via genetic algorithms". Thesis, University of Glasgow, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361268.
Pełny tekst źródłaGriffiths, Ian. "Microcontroller implementation of artificial intelligence for autonomous guided vehicles". Thesis, University of Wolverhampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.266837.
Pełny tekst źródłaMcClintock, Shaunna. "Soft computing : a fuzzy logic controlled genetic algorithm environment". Thesis, University of Ulster, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268579.
Pełny tekst źródłaWong, King-sau, i 黃敬修. "Improving the performance of lifts using artificial intelligence techniques". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B2768295X.
Pełny tekst źródłaabstract
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Mechanical Engineering
Doctoral
Doctor of Philosophy
鄺世凌 i Sai-ling Kwong. "Evolutionary design of fuzzy-logic controllers for manufacturing systems with production time-delays". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B3124323X.
Pełny tekst źródła唐靜敏 i Ching-mun Tong. "Evolutionary design of fuzzy-logic controllers with minimal rule sets for manufacturing systems". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31243678.
Pełny tekst źródłaTong, Ching-mun. "Evolutionary design of fuzzy-logic controllers with minimal rule sets for manufacturing systems /". Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25100130.
Pełny tekst źródłaKwong, Sai-ling. "Evolutionary design of fuzzy-logic controllers for manufacturing systems with production time-delays /". Hong Kong : University of Hong Kong, 2002. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25100178.
Pełny tekst źródłaArnett, Timothy J. "Verification of Genetic Fuzzy Systems". University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460731645.
Pełny tekst źródłaTripathi, Nishith D. "Generic Adaptive Handoff Algorithms Using Fuzzy Logic and Neural Networks". Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/29267.
Pełny tekst źródłaPh. D.
Leitch, Donald Dewar. "A new genetic algorithm for the evolution of fuzzy sets". Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318473.
Pełny tekst źródłaMok, Tsz-kin, i 莫子建. "Modeling, analysis and control design for the UPFC with fuzzy theory and genetic algorithm application". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31224969.
Pełny tekst źródłaBieleveld, Michel Jan Marinus. "Improving species distribution model quality with a parallel linear genetic programming-fuzzy algorithm". Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-26012017-113329/.
Pełny tekst źródłaBiodiversidade, a variedade de vida no planeta, está em declínio às alterações climáticas, mudanças nas interações das populações e espécies, bem como nas alterações demográficas e na dinâmica de paisagens. Avaliações integradas baseadas em modelo desempenham um papel fundamental na compreensão e na exploração destas dinâmicas complexas e tem o seu uso comprovado no planejamento de conservação da biodiversidade. Os objetivos deste estudo de doutorado foram investigar; (1) o uso de técnicas de programação genética e fuzzy para construir modelos de alta qualidade que lida com presença e ausência de dados ruidosos do mundo real, (2) a extensão desta solução para explorar o paralelismo inerente à programação genética para acelerar tomadas de decisão e (3) um framework conceitual para compartilhar modelos, na expectativa de permitir a síntese de pesquisa. Subsequentemente, a qualidade do método, avaliada com a true skill statistic, foi examinado com dois estudos de caso. O primeiro utilizou um conjunto de dados fictícios obtidos a partir da definição de uma espécie virtual, e o segundo utilizou dados de uma espécie de pomba (Zenaida macroura) obtidos do North American Breeding Bird Survey. Nestes estudos, os modelos foram capazes de predizer a distribuição das espécies maneira correta mesmo utilizando bases de dados com até 30% de erros nas amostras de presença e de ausência. A implementação paralela utilizando um cluster de vinte nós c3.xlarge Amazon EC2 StarCluster, mostrou uma aceleração linear devido ao arquitetura de múltiplos deme de granulação grossa. O algoritmo de programação genética e fuzzy gerada em determinadas condições durante os estudos de caso, foram significativamente melhores na transferência do que os algoritmos do BIOMOD.
麥禮安 i Lai-on Mak. "Fuzzy logic statcom controller design with genetic algorithm application for stability enhancement of interconnected power systems". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B42128699.
Pełny tekst źródłaMak, Lai-on. "Fuzzy logic statcom controller design with genetic algorithm application for stability enhancement of interconnected power systems". Click to view the E-thesis via HKUTO, 2000. http://sunzi.lib.hku.hk/hkuto/record/B42128699.
Pełny tekst źródłaQiu, Yu. "Statistical Genetic Interval-Valued Type-2 Fuzzy System and its Application". Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_theses/22.
Pełny tekst źródłaVick, Andrew W. "Genetic Fuzzy Controller for a Gas Turbine Fuel System". University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1291053513.
Pełny tekst źródłaStockton, Nicklas O. "Hybrid Genetic Fuzzy Systems for Control of Dynamic Systems". University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1523635312922039.
Pełny tekst źródłaNatario, Romalho Maria Fernanda. "Application of an automatically designed fuzzy logic decision support system to connection admission control in ATM networks". Thesis, Queen Mary, University of London, 1996. http://qmro.qmul.ac.uk/xmlui/handle/123456789/3817.
Pełny tekst źródłaMatthews, Stephen. "Learning lost temporal fuzzy association rules". Thesis, De Montfort University, 2012. http://hdl.handle.net/2086/8257.
Pełny tekst źródłaHanlon, Nicholas P. "Simulation Research Framework with Embedded Intelligent Algorithms for Analysis of Multi-Target, Multi-Sensor, High-Cluttered Environments". University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1460730865.
Pełny tekst źródłaBisig, Caleb R. "Modular Decentralized Genetic Fuzzy Control for Multi-UAV Slung Payloads". University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1617106491512366.
Pełny tekst źródłaCheng, Martin Chun-Sheng, i pjcheng@ozemail com au. "Dynamical Near Optimal Training for Interval Type-2 Fuzzy Neural Network (T2FNN) with Genetic Algorithm". Griffith University. School of Microelectronic Engineering, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030722.172812.
Pełny tekst źródłaGoncalves, da Silva Wander. "Speed control of electric drives in the presence of load disturbances". Thesis, University of Newcastle Upon Tyne, 1999. http://hdl.handle.net/10443/673.
Pełny tekst źródłaErnest, Nicholas D. "UAV Swarm Cooperative Control Based on a Genetic-Fuzzy Approach". University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337954828.
Pełny tekst źródłaWalker, Alex R. "Genetic Fuzzy Attitude State Trajectory Optimization for a 3U CubeSat". University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1593265983802031.
Pełny tekst źródłaMitchell, Sophia. "A Cascading Fuzzy Logic Approach for Decision Making in Dynamic Applications". University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037866.
Pełny tekst źródłaWalker, Alex R. "Fuzzy Attitude Control of a Magnetically Actuated CubeSat". University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384333499.
Pełny tekst źródłaSamaan, Nader Amin Aziz. "Reliability assessment of electrical power systems using genetic algorithms". Texas A&M University, 2004. http://hdl.handle.net/1969.1/1054.
Pełny tekst źródłaJain, Ravi. "Intelligent techniques for the diagnosis of coronary artery disease /". Title page, contents and abstract only, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09phj248.pdf.
Pełny tekst źródłaShook, David Adam. "Control of a benchmark structure using GA-optimized fuzzy logic control". [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1088.
Pełny tekst źródłaMohamad, Khalid Y. "Restimulation candidate selection using virtual intelligence". Morgantown, W. Va. : [West Virginia University Libraries], 2000. http://etd.wvu.edu/templates/showETD.cfm?recnum=1722.
Pełny tekst źródłaTitle from document title page. Document formatted into pages; contains ix, 176 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 64-65).
Sozio, John Charles. "Intelligent Parameter Adaptation for Chemical Processes". Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/34089.
Pełny tekst źródłaMaster of Science
Martinský, Ondrej. "Inteligentní systém pro generování a analýzu obchodních doporučení na finančních trzích". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-412812.
Pełny tekst źródłaSkolpadungket, Prisadarng. "Portfolio management using computational intelligence approaches : forecasting and optimising the stock returns and stock volatilities with fuzzy logic, neural network and evolutionary algorithms". Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/6306.
Pełny tekst źródłaLafountain, Cody. "Matlab-based Development of Intelligent Systems for Aerospace Applications". University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1427812775.
Pełny tekst źródłaSampan, Somkiat. "Neural Fuzzy Techniques in Vehicle Acoustic Signal Classification". Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30612.
Pełny tekst źródłaPh. D.
Surynek, Jiří. "Využití prostředků umělé inteligence pro podporu rozhodování v podniku". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2014. http://www.nusl.cz/ntk/nusl-224665.
Pełny tekst źródłaJasanský, Michal. "Využití prostředků umělé inteligence pro podporu na kapitálových trzích". Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2013. http://www.nusl.cz/ntk/nusl-224231.
Pełny tekst źródłaDočekalová, Petra. "Využití umělé inteligence ve vibrodiagnostice". Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443757.
Pełny tekst źródłaXavier, Francisco Calaça. "Cognare: um sistema para alocação dinâmica de recursos baseado em técnicas de Inteligência Artificial". Universidade Federal de Goiás, 2012. http://repositorio.bc.ufg.br/tede/handle/tede/5514.
Pełny tekst źródłaApproved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-04-27T13:40:15Z (GMT) No. of bitstreams: 2 Dissertação - Francisco Calaça Xavier - 2012.pdf: 5019345 bytes, checksum: 0e64a53ebdeda990e6ef1175f1732c19 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)
Made available in DSpace on 2016-04-27T13:40:15Z (GMT). No. of bitstreams: 2 Dissertação - Francisco Calaça Xavier - 2012.pdf: 5019345 bytes, checksum: 0e64a53ebdeda990e6ef1175f1732c19 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2012-06-21
The problem of decision making about the allocation of resources is present in many areas of society. The allocation of ambulances to the occurrence of accidents with victims and the allocation of teams to solve problems in the supply of electricity are examples of situations where it is necessary to make this decision. We can also mention the problems that occur in the allocation of hardware resources when a system is running in a distributed form. In this context, this paper presents the system COGNARE, which brings together techniques such as Genetic Algorithms, Fuzzy Logic and Multiagent Systems in order to allocate tasks to resources dynamically. The COGNARE was used in two different situations. At first, the problem was to allocate vehicles to a distributor of electricity to occurrences of failures in supply. In the second situation, the problem was to allocate hardware resources in a distributed system. In both cases, the COGNARE presented as a system of allocating resources efficiently. Keywords
O problema da tomada de decisão quanto a alocação de recursos está presente em diversas áreas da sociedade. A alocação de ambulâncias à ocorrências de acidentes com vítimas e a alocação de equipes para solução de problemas no fornecimento de energia elétrica são exemplos de situações onde são necessárias tomadas de decisão. Os problemas que ocorrem na alocação de recursos de hardware quando um sistema é executado de forma distribuída também requerem decisões. Neste contexto, este trabalho apresenta o sistema COGNARE, que reúne a utililização de técnicas como Algoritmos Genéticos, Lógica Fuzzy e Sistemas Multiagentes com o objetivo de alocar dinamicaminte tarefas a recursos. O COGNARE foi utilizado em duas situações distintas. Na primeira, o problema consistia em alocar dinamicamente viaturas de uma empresa de distribuição de energia elétrica a ocorrências de falhas no fornecimento. Na segunda situação, o problema consistia em alocar dinamicamente recursos de hardware em um sistema distribuído. Nestes dois casos, o COGNARE apresentou-se como um sistema de alocação de recursos eficiente.
Chen, Xiujuan. "Computational Intelligence Based Classifier Fusion Models for Biomedical Classification Applications". Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/cs_diss/26.
Pełny tekst źródłaMcCausland, Jamieson. "A Proactive Risk-Aware Robotic Sensor Network for Critical Infrastructure Protection". Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/30328.
Pełny tekst źródłaPodder, Tanmay. "ANALYSIS & STUDY OF AI TECHNIQUES FORAUTOMATIC CONDITION MONITORING OFRAILWAY TRACK INFRASTRUCTURE : Artificial Intelligence Techniques". Thesis, Högskolan Dalarna, Datateknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-4757.
Pełny tekst źródłaJiang, Xiaomo. "Dynamic fuzzy wavelet neural network for system identification, damage detection and active control of highrise buildings". Connect to this title online, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1110266591.
Pełny tekst źródłaTitle from first page of PDF file. Document formatted into pages; contains xvii, 221 p.; also includes graphics (some col.). Includes bibliographical references (p. 210-221). Available online via OhioLINK's ETD Center