Adapting To A Realistic Decision Maker: Experiments Towards A Reactive Multi-Objective Optimizer
LION'10: Proceedings of the 4th international conference on Learning and intelligent optimization(2010)
摘要
The interactive decision making (IDM) methods exploit the preference information from the decision maker during the optimization task to guide the search towards favourite solutions. This work measures the impact of inaccurate and contradictory preference information on the quality of the solutions generated by the IDM methods. The investigation is done in the context of the BC-EMO algorithm, a recently proposed multi-objective genetic algorithm.
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关键词
BC-EMO algorithm,IDM method,contradictory preference information,decision maker,interactive decision,multi-objective genetic algorithm,preference information,favourite solution,optimization task,reactive multi-objective optimizer,realistic decision maker
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