On evolutionary strategy based on hybrid crossover operators
Xiaodong Yu, Jingbo Shao, Hongbin Dong · 2011
Crossover operators play an important role in evolutionary strategy. Several different crossover operators have been developed in the past decades. However, each crossover operator is only efficient in some type of problems, but fails in another one. In order to overcome the disadvantage, a possible solution is to use a mixed crossover strategy, which mixes various crossover operators. In this paper, an example of such strategies is introduced which employs four different crossover strategies: two-point crossover, uniform crossover, arithmetic crossover. The simulation results show that the mixed crossover strategy is superior to any pure crossover strategy.