Research Article

Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems

Table 5

Comparison between GLSPSO and -PSOCLUS for problems with dimension of 30.

ProblemAckleyGriewankRastriginRosenbrockSphere

AlgorithmGLSPSOR-PSOCLUSGLSPSO -PSOCLUSGLSPSO -PSOCLUSGLSPSO -PSOCLUSGLSPSO -PSOCLUS

Best fitness2.278420.30750.08970.0000109.594613.9247175.878522.75891.91230.0000
Mean fitness2.839820.47780.12570.0000185.522136.3715218.497627.51472.74490.0000
Worst fitness3.295220.57920.20740.0000229.622972.6581259.246676.74333.95590.0000
Std. Dev.0.22730.05740.02740.000024.982916.488221.80279.91820.48400.0000