Machining Parameters Selection for Milling Operations Using Shuffled Frog-Leaping Algorithm
نویسندگان
چکیده
This paper introduces a Shuffled Frog-Leaping Algorithm based method for the optimization of machining parameters for milling operations. An objective function based on maximum profit in milling operation has been used. The algorithm is compared with others techniques and outperforms the results reached by standard shuffled frogleaping algorithm, differential evolution, particle swarm optimization and genetic algorithms. Consequently, this algorithm can be used in the selection of optimal machining parameters in milling operations. Keywords— Milling, machining parameters, shuffled frogleaping algorithm, differential evolution, genetic algorithms, particle swarm optimization
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