Establish the optimal parameters for League Championship Algorithm
Manufacturing and service businesses need to increase their competitive always. A business decision making tool is algorithms, and most business problems are NP-Hard. Therefore, the objectives of this article are to review League Championship Algorithm (LCA), to find the optimal parameters of the 10 different benchmarked functions and to design and analysis of experiments with the fractional factorial experiment (2k-p) and analysis of variance (ANOVA). The results of this experiments show that f1(x), f2(x), f9(x) and f10(x) have a P-value less than 0.05, indicating that the value of the factor responds. So the best parameter of the league championship algorithm should be as follows, for f1(x) set a retreat coefficient (c1) to 6, for f2(x) and f10(x) set the league size (L) x Seasonality (S) to 56x1, the retreat coefficient (c1) and the approach coefficient (c2) is 6, and the probability of success (pc) is 0.99999 and f9(x) set a retreat coefficient (c1) to 6, the approach coefficient (c2) is 6 and the probability of success (pc) is 0.99999.
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