Research Article

An Algorithm for Global Optimization Inspired by Collective Animal Behavior

Table 8

Minimization result of GKLSfunctions in Table 16. Maximum number of iterations = 500.

RGAPSOGSADECAB

Average best sofar−0.942004−0.932011−0.899812−0.951937−1
Median best sofar−0.908521−0.910058−0.882597−0.909844−0.999924
Average mean fitness−0.907354−0.909058−0.882597−0.903981−0.999865
Average best sofar−0.931281−0.941281−0.813412−0.968839−1
Median best sofar−0.900889−0.899011−0.803482−0.909983−0.999961
Average mean fitness−0.900115−0.898545−0.801143−0.901101−0.999732
Average best sofar−0.939845−0.924521−0.798799−0.944561−1
Median best sofar−0.808034−0.872132−0.701174−0.836621−0.999081
Average mean fitness−0.801618−0.864321−0.698722−0.816695−0.963632
Average best sofar−0.948823−0.939799−0.778588−0.948977−1
Median best sofar−0.818891−0.798812−0.668721−0.812237−0.999552
Average mean fitness−0.803487−0.758892−0.601179−0.8087210.990978
Average best sofar−0.888821−0.858814−0.618791−0.871471−0.99907
Median best sofar−0.695712−0.662715−0.550711−0.773419−0.889712
Average mean fitness−0.599871−0.500784−0.443982−0.612876−0.787712
Average best sofar−0.872291−0.880139−0.642839−0.885412−0.998681
Median best sofar−0.618732−0.602568−0.452974−0.702591−0.857517
Average mean fitness−0.552374−0.459871−0.400781−0.610887−0.800181
Average best sofar−0.798712−0.779521−0.607894−0.807127−0.985712
Median best sofar−0.684521−0.645828−0.401896−0.534519−0.882378
Average mean fitness−0.551411−0.497812−0.400874−0.458717−0.819784
Average best sofar−0.788952−0.792231−0.613691−0.798827−0.998712
Median best sofar−0.692354−0.702387−0.596711−0.672895−0.842397
Average mean fitness−0.601008−0.652394−0.482337−0.604732−0.808897