An interactive evolutionary multi-objective optimization method based on polyhedral cones

Authors:
Ankur Sinha;Pekka Korhonen;Jyrki Wallenius;Kalyanmoy Deb
Affiliations:
Department of Business Technology, Aalto University School of Economics, Aalto, Helsinki, Finland;Department of Business Technology, Aalto University School of Economics, Aalto, Helsinki, Finland;Department of Business Technology, Aalto University School of Economics, Aalto, Helsinki, Finland;Department of Business Technology, Aalto University School of Economics, Aalto, Helsinki, Finland and Department of Mechanical Engineering, Indian Institute of Technology Kanpur, India
Venue:
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
Year:
2010

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Abstract

This paper suggests a preference based methodology, where the information provided by the decision maker in the intermediate runs of an evolutionary multi-objective optimization algorithm is used to construct a polyhedral cone. This polyhedral cone is used to eliminate a part of the search space and conduct a more focussed search. The domination principle is modified, to look for better solutions lying in the region of interest. The search is terminated by using a local search based termination criterion. Results have been presented on two to five objective problems and the efficacy of the procedure has been tested.