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GECCO
2007
Springer

Guided hyperplane evolutionary algorithm

9 years 5 months ago
Guided hyperplane evolutionary algorithm
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. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods, and Search—Heuristic methods General Terms Algorithms Keywords evolutionary multiobjective optimization, guiding hyperplane
Corina Rotar, D. Dumitrescu, Rodica Ioana Lung
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where GECCO
Authors Corina Rotar, D. Dumitrescu, Rodica Ioana Lung
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