- 期刊
A Basin Escaping Auxiliary Function Method for Global Optimization
摘要
In this paper, a basin escaping auxiliary function method is proposed. This method adopts the idea of the filled function to move from a local minimum to better ones successively. The main advantages of the new proposed basin escaping auxiliary function are: (1) it is easy to construct, (2) it has no parameters to adjust, and (3) the formula expression of the new auxiliary function is quite simple which can result in less computation and hence can improve the efficiency. The properties of the auxiliary function is studied and discussed theoretically. And an evolutionary algorithm with a new crossover operator was proposed based on the basin escaping auxiliary function. The experiments are conducted on 8 often used benchmarks in the field and the results show that the proposed algorithm is more efficient.
延伸閱讀
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