Computational Intelligence and Neuroscience / 2016 / Article / Tab 2

Research Article

Particle Swarm Optimization with Double Learning Patterns

Table 2

Parameter settings of algorithms used in the comparisons.

AlgorithmYearPopulation topologyParameter settings

PSO-LDIW1998Fully connected: 0.9–0.4,
HPSO2004Fully connected: 0.9–0.4, : 2.5–0.5, : 0.5–2.5
FIPSO2004Local Ring ,
CLPSO2006Comprehensive learning: 0.9–0.4, ,
SPSO2007Local Ring,
COMPSO2007Multiswarm (fully connected): 0.9–0.4, ,
HEPSO2014Fully connected: 0.9–0.4, : 2.5−0.5, : 0.5−2.5, ,
TS-COMPSO2014Multiswarm (fully connected and local ring), ,
CMA-ES2007,
SADE2009, , ,
JADE2009,
PSO-DLPMultiswarm (fully connected): 0.9–0.3, ,

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