2009
DOI: 10.1080/00949650701752939
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A new approach for the genetic algorithm

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Cited by 5 publications
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“…Replace the current population with the children to form the next generation. The algorithm stops when one of the five stopping criteria ie generations, time limit, fitness limit, stall generations or stall time limit is met and finally the ultimate beauty of Genetic Algorithm [16] is adaptability itself.…”
Section: Fig 2: Genetic Algorithm Cyclementioning
confidence: 99%
“…Replace the current population with the children to form the next generation. The algorithm stops when one of the five stopping criteria ie generations, time limit, fitness limit, stall generations or stall time limit is met and finally the ultimate beauty of Genetic Algorithm [16] is adaptability itself.…”
Section: Fig 2: Genetic Algorithm Cyclementioning
confidence: 99%