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2013
The behavior of a single organism in a swarm is often insignificant, but their collective and social behavior is of paramount importance. The particle swarm optimization (PSO) was introduced by Kennedy and Eberhart [1] in 1995 as a population-based stochastic search and optimization process.
Serkan Kiranyaz +2 more
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The behavior of a single organism in a swarm is often insignificant, but their collective and social behavior is of paramount importance. The particle swarm optimization (PSO) was introduced by Kennedy and Eberhart [1] in 1995 as a population-based stochastic search and optimization process.
Serkan Kiranyaz +2 more
openaire +2 more sources
2010
This chapter is devoted to particle swarm optimization (PSO), from early precursors to contemporary standard variants. The presentation begins with the main inspiration source behind its development, followed by early variants and discussion on their parameters. Severe deficiencies of early variants are also pointed out and their solutions are reported
E. Parsopoulos Konstantinos +1 more
openaire +1 more source
This chapter is devoted to particle swarm optimization (PSO), from early precursors to contemporary standard variants. The presentation begins with the main inspiration source behind its development, followed by early variants and discussion on their parameters. Severe deficiencies of early variants are also pointed out and their solutions are reported
E. Parsopoulos Konstantinos +1 more
openaire +1 more source
2016
PSO can locate the region of the optimum faster than EAs, but once in this region it progresses slowly due to the fixed velocity stepsize. Almost all variants of PSO try to solve the stagnation problem. This chapter is dedicated to PSO as well as its variants.
Ke-Lin Du, M. N. S. Swamy
openaire +1 more source
PSO can locate the region of the optimum faster than EAs, but once in this region it progresses slowly due to the fixed velocity stepsize. Almost all variants of PSO try to solve the stagnation problem. This chapter is dedicated to PSO as well as its variants.
Ke-Lin Du, M. N. S. Swamy
openaire +1 more source