Meta‐Heuristic and Evolutionary Algorithms for Engineering Optimization 2017
DOI: 10.1002/9781119387053.ch11
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Shuffled Frog‐Leaping Algorithm

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“…The SFL algorithm involves a set of frogs that cooperate with each other to achieve a unified behavior for the system as a whole, producing a robust system capable of finding high quality solutions for problems with a large search space such as Economic Dispatch )ED(problem. The algorithm is used to calculate the global optima of many problems and proves to be a very efficient algorithm [21]. e -Genetic Algorithm (GA): genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA).…”
Section: D-shuffled Frog Leaping (Sfl)mentioning
confidence: 99%
“…The SFL algorithm involves a set of frogs that cooperate with each other to achieve a unified behavior for the system as a whole, producing a robust system capable of finding high quality solutions for problems with a large search space such as Economic Dispatch )ED(problem. The algorithm is used to calculate the global optima of many problems and proves to be a very efficient algorithm [21]. e -Genetic Algorithm (GA): genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA).…”
Section: D-shuffled Frog Leaping (Sfl)mentioning
confidence: 99%