Abstract:
Crossover operators play an important role in evolutionary strategy. Several different crossover operators have been developed in the past decades. However, each crossove...Show MoreMetadata
Abstract:
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.
Published in: Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology
Date of Conference: 12-14 August 2011
Date Added to IEEE Xplore: 19 September 2011
ISBN Information: