THE SOLUTION OF MULTIEXTREME PROBLEMS BY THE SWARM SHARING METHOD
Abstract
The method of attack the research problems of the multiextremal dependencies in order to find several extremes simultaneously is described. It concerns both the problems of determining several equisignificant global extrema, and the problems of allocation, apart with the global, of the most significant local extrema. The efficiency of the modified particle swarm method for such tasks is shown.
About the Authors
Rudolf A. NEYDORF
Don State Technical University
Russian Federation
Russian Federation
Anna A. DEREVYANKINA
Don State Technical University
Russian Federation
Russian Federation
References
1. Derevyankina A.A. Modifikaciya i strukturno-parametricheskaya optimizaciya metoda royaschihsya chastic dlya resheniya ekstremal'nyh zadach / A.A. Derevyankina, R.A. Neidorf// Sovremennye problemy mnogourovnevogo obrazovaniya: mejdunar. simp. – Rostov n/D. – 2009. – T. 11. – in Russian.
2. Karpenko A.P. Obzor metodov roya chastic dlya zadachi global'noi optimizacii (Particle Swarm Optimization) / A.P. Karpenko, E.Yu. Seliverstov; Mosk. gos. tehn. un-t im. N.E. Baumana. – Elektr. nauch.-tehn. izd. – M.: Nauka i obrazovanie, 2009. – in Russian.
Review
For citations:
NEYDORF R., DEREVYANKINA A. THE SOLUTION OF MULTIEXTREME PROBLEMS BY THE SWARM SHARING METHOD. Vestnik of Don State Technical University. 2010;10(4):492-499. (In Russ.)
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