采用遗传算法对约束函数进行优化也得到了广泛关注与认同,但在解决高维、多约束优化时存在“早熟”和发散现象。采用整合数列编码和实数编码遗传算法,设计出序列-实数混合编码遗传算法,并利用次算法对多个典型约束函数进行优化测试,对算法性能进行测试评估,结果表明,混合编码遗传算法在求解高维复杂问题的性能较实数编码遗传算法有较大改善。 Genetic algorithms have also been widely used to optimize the constraint function. However, there are some problems such as “precocious” and divergence in solving high-dimensional and multi-constrained optimization problems. Using the integrated sequence coding and real coding genetic algorithm, a sequence-real mixed coding genetic algorithm is designed, and several typical constraint functions are optimized and tested by using the sub-algorithm. The performance of the algorithm is tested and evaluated. The results show that the hybrid coding genetic algorithm The performance of high-dimensional complex problems is greatly improved compared with real-coded genetic algorithm.