混合离散变量的高维多目标灰色混沌复合遗传算法

Grey Chaotic Compound Genetic Algorithm of High Dimension Multi-objective with Hybrid Discrete Variables

提出了一种基于混合离散变量多目标优化设计求解方法,该方法应用灰色绝对关联度直接求解。该模型与方法能合理地处理优化设计中混合离散变量的取值问题,引入了混沌移民算子对基本遗传算法进行了改进,并开发了混合离散变量优化的灰色复合遗传算法程序。工程设计实例表明,该算法对优化设计问题的特性无特殊要求,具有较好的普适性,而且程序运行可靠,全局收敛能力强。

A general solution method was introduced to high dimension multi-objective hybrid discrete variables and the solutions were found with absolute degree of grey incidences. The model and method could reasonably deal with value adopting problems of hybrid discrete variables in optimization design. A chaos emigration operator was introduced for carrying out improvement on the fundamental genetic algorithm, and the grey compound genetic algorithmic program for the multi-objective optimization of hybrid discrete variables was developed. The example of engineering design shows that this algorithm has no special requirements on the characteristics of optimal designing problems, it has a good universal adaptability and a reliable operation of program with a strong ability of overall convergence.