Particle Swarm Optimization with Double Learning Patterns

Table 2

Parameter settings of algorithms used in the comparisons.

Algorithm	Year	Population topology	Parameter settings
PSO-LDIW	1998	Fully connected	: 0.9–0.4,
HPSO	2004	Fully connected	: 0.9–0.4, : 2.5–0.5, : 0.5–2.5
FIPSO	2004	Local Ring	,
CLPSO	2006	Comprehensive learning	: 0.9–0.4, ,
SPSO	2007	Local Ring	,
COMPSO	2007	Multiswarm (fully connected)	: 0.9–0.4, ,
HEPSO	2014	Fully connected	: 0.9–0.4, : 2.5−0.5, : 0.5−2.5, ,
TS-COMPSO	2014	Multiswarm (fully connected and local ring)	, ,
CMA-ES	2007	—	,
SADE	2009	—	, , ,
JADE	2009	—	,
PSO-DLP	—	Multiswarm (fully connected)	: 0.9–0.3, ,