Research Article

Dynamic Neighborhood-Based Particle Swarm Optimization for Multimodal Problems

Table 1

Benchmark instances.

FunctionDDecision spaceNo. of global/ local optimaPeak height

F1Equal maxima1x[0 1]5/01
F2Uneven decreasing maxima1x[0 1]¼1
F3Six-hump camel back2x1[−1.9 1.9]2/21.0316
x2[−1.1 1.1]
F4Shubert2X[−10, 10]218/many186.731
Shubert3X[−10, 10]381/many2709.093
F5Vincent2X [0.25, 10]2361
F6Modified Rastrigin2X[0, 1]D12/0-2
F7Composition function 35/10X[−5, 5]D6/many0
F8Composition function 45/10X[−5, 5]D8/many0