Article (Scientific journals)
A hybrid optimization technique coupling an evolutionary and a local search algorithm
Kelner, Vincent; Capitanescu, Florin; Léonard, Olivier et al.
2008In Journal of Computational and Applied Mathematics, 215 (2), p. 448-456
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Keywords :
genetic algorithm; interior-point method; multi-objective optimization; Nonlinear programming
Abstract :
[en] Evolutionary Algorithms are robust and powerful global optimization techniques for solving large scale problems that have many local optima. However, they require high CPU times, and they are very poor in terms of convergence performance. On the other hand, local search algorithms can converge in a few iterations but lack a global perspective. The combination of global and local search procedures should offer the advantages of both optimization methods while offsetting their disadvantages. This paper proposes a new hybrid optimization technique that merges a Genetic Algorithm with a local search strategy based on the Interior Point method. The efficiency of this hybrid approach is demonstrated by solving a constrained multi-objective mathematical test-case.
Disciplines :
Mechanical engineering
Mathematics
Author, co-author :
Kelner, Vincent ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale
Capitanescu, Florin ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Léonard, Olivier ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale
Wehenkel, Louis  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Language :
English
Title :
A hybrid optimization technique coupling an evolutionary and a local search algorithm
Publication date :
June 2008
Journal title :
Journal of Computational and Applied Mathematics
ISSN :
0377-0427
eISSN :
1879-1778
Publisher :
Elsevier Science, Amsterdam, Netherlands
Volume :
215
Issue :
2
Pages :
448-456
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
RW PIGALL project
Available on ORBi :
since 15 December 2009

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