Adapting to a realistic decision maker: experiments towards a reactive multi-objective optimizer

Authors:
Paolo Campigotto;Andrea Passerini
Affiliations:
Dipartimento di Ingegneria e Scienza dell'Informazione, Università di Trento, Italy;Dipartimento di Ingegneria e Scienza dell'Informazione, Università di Trento, Italy
Venue:
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
Year:
2010

Citing 2
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Abstract

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.