Swarm Intelligence Algorithms

Step-by-step numerical example of global version of CSO algorithm 65

104 Gbest [ j ] = P[ TheBest ] [ j ] ;

105 }

106 EvalGbest = Eval [ TheBest ] ;

107 }

108 }

109 cout << " EvalGBest = " << EvalGbest << en d l ;

110 return 0 ;

111 }

Listing 5.4

Source-code of the global version of the CSO in C++.

5.5 Step-by-step numerical example of global version of

CSO algorithm

In the first step let us assume that we want to minimize an objective function

OF (.) given by equation 5.10, where M, the number of dimensions, is equal

to 5.

In the second step we determine the parameter values of the CSO algorithm

such as N = 6, MR = 0.2, SMP = 5, SRD = 0.2, CDC = 3, MAX = 100 ...