【摘要】 基于生物DNA信息遗传机理及生物进化规则 ,给出一种基于DNA编码方法的改进遗传算法 ,以求解非线性多约束规划问题 .原始的选择算子和交叉算子分别被改造为动态选择算子和基因传递算子 ;算法中还加入了一个新的算子———淘汰算子 .分析及算法仿真结果表明 ,本算法可有效求解该问题更多还原

【Abstract】 Based on the mechanism of biological DNA genetic information and biological evolution rules, a refined genetic algorithm(GA) was proposed to solve nonlinear multi-constrained programming based on DNA-encoding method. The original selection operator and crossover operator were respectively reconstructed to dynamic selection operator and gene transfer operator. A new operator -elimination operator was also added to the algorithm. Both the analysis and simulation results indicate that this algorithm is effective and feasible for solving above problems.更多还原