NDLI: Scale factor local search in differential evolution

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Scale factor local search in differential evolution

Content Provider	Springer Nature Link
Author	Neri, Ferrante Tirronen, Ville
Copyright Year	2009
Abstract	This paper proposes the scale factor local search differential evolution (SFLSDE). The SFLSDE is a differential evolution (DE) based memetic algorithm which employs, within a self-adaptive scheme, two local search algorithms. These local search algorithms aim at detecting a value of the scale factor corresponding to an offspring with a high performance, while the generation is executed. The local search algorithms thus assist in the global search and generate offspring with high performance which are subsequently supposed to promote the generation of enhanced solutions within the evolutionary framework. Despite its simplicity, the proposed algorithm seems to have very good performance on various test problems. Numerical results are shown in order to justify the use of a double local search instead of a single search. In addition, the SFLSDE has been compared with a standard DE and three other modern DE based metaheuristic for a large and varied set of test problems. Numerical results are given for relatively low and high dimensional cases. A statistical analysis of the optimization results has been included in order to compare the results in terms of final solution detected and convergence speed. The efficiency of the proposed algorithm seems to be very high especially for large scale problems and complex fitness landscapes.
Starting Page	153
Ending Page	171
Page Count	19
File Format	PDF
ISSN	18659284
Journal	Memetic Computing
Volume Number	1
Issue Number	2
e-ISSN	18659292
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-02-10
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Differential evolution Adaptive memetic algorithms Golden section search Multimeme algorithms Large scale optimization Applications of Mathematics Bioinformatics Complexity Artificial Intelligence (incl. Robotics) ApplicationMathematics/Computational Methods of Engineering Control Robotics Mechatronics
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Computer Science

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