Computational Intelligence and Neuroscience / 2020 / Article / Alg 1

Research Article

A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm

Algorithm 1

Search history-driven crossover for RCGA.
Input: population , population size ,
Archive , archive size ,
Score ,
Generation ID
Output: estimated global optimum
//initialization
(1) individuals in are randomly initialized
//fitness evaluation
(2)eval
//archive update
(3) archiveUpdate ;
(4)While termination criterion is not satisfied do
(5)
//SHX
(6) parentSelection , ;
(7)
(8) offspringGeneration ;
(9) offspringSelection , ;
//fitness evaluation
(10)eval
//survivor selection
(11) survivorSelection ;
(12)
//archive update
(13) archiveUpdate ;
(14)end
(15)Return .

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