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GECCO
2005
Springer

Hybrid multiobjective genetic algorithm with a new adaptive local search process

14 years 5 months ago
Hybrid multiobjective genetic algorithm with a new adaptive local search process
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introduced and assessed against a set of test functions presenting different challenges. Two performance criteria were assessed: the convergence of the achieved results towards the true Pareto fronts and their distribution. Categories and Subject Descriptors I.2.8 [Computing Methodologies]: Artificial Intelligence – problem solving, control methods, and search – heuristics methods. General Terms Algorithms, Performance, Experimentation, Theory. Keywords Memetic algorithms; local search; multiobjective optimization.
Salem F. Adra, Ian Griffin, Peter J. Fleming
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors Salem F. Adra, Ian Griffin, Peter J. Fleming
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