Guided hyperplane evolutionary algorithm
Corina Rotar, Dumitru Dumitrescu, Rodica Ioana Lung · 2007
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.