Preference-Based Solution Selection Algorithm for Evolutionary Multiobjective Optimization

Since multiobjective evolutionary algorithms (MOEAs) provide a set of nondominated solutions, decision making of selecting a preferred one out of them is required in real applications. However, there has been some research on MOEA in which the user's preferences are incorporated for this purpos...

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Vydáno v:	IEEE transactions on evolutionary computation Ročník 16; číslo 1; s. 20 - 34
Hlavní autoři:	Kim, Jong-Hwan, Han, Ji-Hyeong, Kim, Ye-Hoon, Choi, Seung-Hwan, Kim, Eun-Soo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.02.2012 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Applied sciences Classical and quantum physics: mechanics and fields Computer science; control theory; systems Data processing. List processing. Character string processing Decision making Decision theory. Utility theory Evolutionary computation Exact sciences and technology Fuzzy integral fuzzy path planning Memory organisation. Data processing multiobjective quantum-inspired evolutionary algorithm multiple criteria decision making (MCDM) Operational research and scientific management Operational research. Management science Operations research Optimization Physics Power measurement preference-based MOEA Preferences Quantum computation Quantum information Robots Simulation Software Sorting Studies Weight measurement Nondominated set Moving robot Computer simulation Decision support system Multicriteria analysis Decision making Evolutionary algorithm Multiobjective programming preference-based MOEA Dominance Routing Path planning fuzzy path planning Fuzzy integral Fuzzy logic Quantum computation multiobjective quantum-inspired evolutionary algorithm Genetic algorithm Efficiency Preference Optimal trajectory multiple criteria decision making (MCDM) User behavior Mathematical programming
ISSN:	1089-778X, 1941-0026
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