Другие журналы
|
scientific edition of Bauman MSTUSCIENCE & EDUCATIONBauman Moscow State Technical University. El № FS 77 - 48211. ISSN 1994-0408
77-30569/355792 Co-hybridization of PSO
# 04, April 2012 DOI: 10.7463/0412.0355729
Article file:
Воробьёва_P.pdf
(480.55Kb)
References 1. ZhouY., Pei Sh. A hybrid co-evolutionary particle swarm optimization algorithm for solving constrained engineering design problems. Journal of computers (JCP).Academy Publisher, 2010, vol. 5, no. 6, pp. 965-972. 2. Shi Yu., Krohling R.A. Co-evolutionary particle swarm optimization to solve min-max problems. Evolutionary Computation, 2002, vol. 2, pp. 1682-1687. 3. ZhouY., Pei Sh. A hybrid co-evolutionary particle swarm optimization algorithm for solving constrained engineering design problems. Journal of computers (JCP), 2010, vol. 5, no. 6, pp. 965-972. 4. Karpenko A.P., Seliverstov E.Iu. Global'naia optimizatsiia metodom roia chastits. Obzor. [Overall optimization by method of particles swarm. Review]. Informatsionnye tekhnologii, 2010, no. 2, pp. 25-34. 5. Protsykov G.V., Semenkin E.S., Tomkin K.A. Ob effektivnosti koevoliutsionnogo podkhoda v prakticheskikh zadachakh optimizatsii [The effectiveness of co-evolutionary approach in practical optimization problems]. Vestnik Krasnoiarskogo gosudarstvennogo universiteta [Bulletin of KSU], 2005, no.4, pp. 233-239.
Publications with keywords: PSO, co-algorithm, hybridization Publications with words: PSO, co-algorithm, hybridization See also: Thematic rubrics: Поделиться:
|
|
|||||||||||||||||||||||||||||
|