Research Article
A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm
Function: offspringSelection . | Input: candidates , | | Score | Output: offspring | //labeling based on clustering results estimated in Algorithm 3, line 7 | (1) | k-meansPredict ; | | //roulette construction | (2) | For do | (3) | If then | (4) | | (5) | Else | (6) | | (7) | end | (8) | end | | //offspring selection | (9) | Repeat | (10) | select one cluster ID by the roulette selection based on | (11) | randomly select one candidate , | (12) | | | //exclude selected candidate from clusters | (13) | | (14) | If then. | (15) | : | (16) | end. | (17) | times are run. | (18) | Return . |
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