Geodesic
Multiple optima identification using multi-strategy multimodal genetic algorithm
Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika, Tome 9 (2016) no. 2, pp. 246-257

Voir la notice de l'article provenant de la source Math-Net.Ru

Multimodal optimization (MMO) is the problem of finding many or all global and local optima. In this study, a novel approach based on a metaheuristic for designing multi-strategy genetic algorithm is proposed. The approach controls the interactions of many search techniques (different genetic algorithms for MMO) and leads to the self-configuring solving of problems with a priori unknown structure. The results of numerical experiments for classical benchmark problems and benchmark problems from the IEEE CEC competition on MMO are presented. The proposed approach has demonstrated efficiency better than standard niching techniques and comparable to advanced algorithms. The main feature of the approach is that it does not require the participation of the human-expert, because it operates in an automated, self-configuring way.
Keywords: multimodal optimization, self-configuration, genetic algorithm, metaheuristic, niching. 
@article{JSFU_2016_9_2_a13,
     author = {Evgenii A. Sopov},
     title = {Multiple optima identification using multi-strategy multimodal genetic algorithm},
     journal = {\v{Z}urnal Sibirskogo federalʹnogo universiteta. Matematika i fizika},
     pages = {246--257},
     publisher = {mathdoc},
     volume = {9},
     number = {2},
     year = {2016},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/JSFU_2016_9_2_a13/}
}
TY  - JOUR
AU  - Evgenii A. Sopov
TI  - Multiple optima identification using multi-strategy multimodal genetic algorithm
JO  - Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika
PY  - 2016
SP  - 246
EP  - 257
VL  - 9
IS  - 2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/JSFU_2016_9_2_a13/
LA  - en
ID  - JSFU_2016_9_2_a13
ER  - 
%0 Journal Article
%A Evgenii A. Sopov
%T Multiple optima identification using multi-strategy multimodal genetic algorithm
%J Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika
%D 2016
%P 246-257
%V 9
%N 2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/JSFU_2016_9_2_a13/
%G en
%F JSFU_2016_9_2_a13
Evgenii A. Sopov. Multiple optima identification using multi-strategy multimodal genetic algorithm. Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika, Tome 9 (2016) no. 2, pp. 246-257. http://geodesic.mathdoc.fr/item/JSFU_2016_9_2_a13/