Guided hyperplane evolutionary algorithm

Authors:
Corina Rotar;D. Dumitrescu;Rodica Ioana Lung
Affiliations:
Babes-Bolyai University, Cluj Napoca, Romania;Babes-Bolyai University, Cluj Napoca, Romania;Babes-Bolyai University, Cluj Napoca, Romania
Venue:
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Year:
2007

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Abstract

A new evolutionary technique for multicriteria optimization called Guiding Hyper-plane Evolutionary Algorithm (GHEA) is proposed. The originality of the approach consists in the fact that the fitness assignment is realized by using a guiding hyperplane and a new non Pareto optimality concept. Numerical experiments illustrate the performance of GHEA compared with the popular NSGA-II and SPEA2.