Interactive evolutionary multi-objective optimization for quasi-concave preference functions

We present a new hybrid approach to interactive evolutionary multi-objective optimization that uses a partial preference order to act as the fitness function in a customized genetic algorithm. We periodically send solutions to the decision maker (DM) for her evaluation and use the resulting preferen...

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Vydáno v:	European journal of operational research Ročník 206; číslo 2; s. 417 - 425
Hlavní autoři:	Fowler, John W., Gel, Esma S., Köksalan, Murat M., Korhonen, Pekka, Marquis, Jon L., Wallenius, Jyrki
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 16.10.2010 Elsevier Elsevier Sequoia S.A
Edice:	European Journal of Operational Research
Témata:	Applied sciences Decision making models Decision theory. Utility theory Evolutionary optimization Exact sciences and technology Flows in networks. Combinatorial problems Genetic algorithms Interactive optimization Interactive optimization Multi-objective optimization Evolutionary optimization Knapsack problem Knapsack problem Multi-objective optimization Operational research and scientific management Operational research. Management science Optimization algorithms Preferences Studies Multi-objective optimization Interactive optimization Evolutionary optimization Knapsack problem Concave programming Cone Decision making Evolutionary algorithm Multiobjective programming Partial ordering Optimization Concave function Genetic algorithm Preference
ISSN:	0377-2217, 1872-6860
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