Multiobjective Parallel Chaos Optimization Algorithm with Crossover and Merging Operation
Table 1
Algorithmic description of the PCOA.
Initialization: specify the maximum iterations and for twice carrier wave; set population size ; random initial value of chaos variable ; parallel optimum ; global optimum .
Begin the first carrier wave
to
Map chaos variable into the variance range of decision variable by: .
Compute the objective function value of .
Update the search result of and with .
Generate next value of chaos variable by one-dimensional map function ():.
end
End the first carrier wave
Begin the second carrier wave
to
Compute the second carrier wave around parallel solution by: .
Compute the objective function value of .
Update the search result of and with .
Generate next value of chaos variable by one-dimensional map function ():.
