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The paper introduces the principle of genetic algorithm and analyses the selection of parameters of genetic algorithm. By an example, the paper researches the different effect of each parameter. Such as, the size of the population (M), the probability of crossover (Pc) and the probability of mutation (Pm). By the experimentation and simulation, The paper brings forward a general method for selection...
Shuffled frog-leaping algorithm (SFLA) is a new meta-heuristic population evolutionary algorithm. Shuffled frog-leaping algorithm has fast and excellent global exploration capability. Firstly, the paper introduces the principle of SFLA. Then, the paper analyses the parameters of SFLA. By the examination, the paper validates the effect of parameters to SFLA. The paper compares SFLA with genetic algorithm...
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