Optimization Crossover Scale for Improving Performance of Crossover Operator
Hao Chen, Cui Du-wu, Xue Li, Wei Hong-Li · 2009
Based on the analysis of relationship between the crossover scale and reachable subspace of crossover operator, it can be found that the crossover scale is dynamically adjusted to the population structure. In this paper, three control mechanisms—the well-phased control strategy, the random distribution strategy and the adaptation evolution strategy are built up to adjust the crossover scale. The simulation tests of the classical function show these optimization mechanisms are available and valuable control knowledge of crossover scale for multi-dimension functions have been generated by the adaptation evolution strategy. Furthermore, this research suggests a new method for the operator and parameter optimization of evolution algorithm.