Research Article

Particle Swarm Optimization Algorithm with Multiple Phases for Solving Continuous Optimization Problems

Table 4

Experimental results for functions with 100 dimensions.

AlgorithmBestMeanSt.D.BestMeanSt.D.

parabolic Schwefel’s P2.22
SPSO-BKStar−450−449.99992.97E-10−329.9999−329.99991.90E-07
Ring−449.9999449.99992.72E-11329.9999329.99997.34E-11
SPSO-CStar−449.9999−449.99470.0369−329.9999−329.85560.4552
Ring−449.9999449.99991.40E-11−329.9999−329.99993.09E-11
CPSOStar−449.9999449.99992.13E-09−329.9999−329.59991.9595
Ring−149.65411344.4583532.677−325.8224−309.55547.5546
PSOFP−449.9999−449.99991.36E-07−329.9999−329.99991.36E-09
PSODP−449.9999−449.99993.34E-07−329.9999−329.99990.0006

Schwefel’s P1.2 step
SPSO-BKStar513.63551602.17603006.812208377.32137.165
Ring2426.16045355.32971565.104671978.24174.267
SPSO-CStar555.42922998.87753037.68512082683.48755.401
Ring1188.10572075.1955769.97415852448.46531.394
CPSOStar5145.967110822.52423423.207180181.71.3
Ring20782.01127917.1913168.31517912506.12287.989
PSOFP1399.17523987.62535750.961182199.7628.642
PSODP989.79562861.31225655.407185215.36115.588

quartic noise Rosenbrock
SPSO-BKStar120.0138120.02780.0110−397.0471−329.932941.398
Ring120.1851120.32650.1013−373.0928−346.462625.371
SPSO-CStar120.5708121.35540.4501397.2747−304.323540.5292
Ring120.4383120.99110.3064−371.9901339.082928.481
CPSOStar120.0379120.06580.014−363.4721−294.819350.003
Ring120.1338120.23210.043606.94443907.80621468.905
PSOFP120.0224120.04380.014−380.2421−290.006047.549
PSODP120.0219120.05180.036−368.7163−299.510843.518