【摘要】 针对传统遗传算法（ＴＧＡ）在求解组合优化问题方面存在的不足，提出一种单亲遗传算法（ＰＧＡ）．ＰＧＡ不使用ＴＧＡ常用的交叉算子，而是通过基因换位算子隐含交叉算子的功能来实现进化操作，简化了遗传操作过程，并且不要求初始群体具有广泛多样性，不存在“早熟收敛”问题，仿真结果表明这种算法是有效的．更多还原

【Abstract】 Considering the deficiency of Traditional Genetic Algorithms(TGA)in solving combinatorial optimization,a Partheno Genetic Algorithm(PGA) is proposed.PGA does not use crossover operators of TGA,while use gene exchange operators that have the same function as crossover operators.In PGA genetic operation is more simplifed and initial population need not be varied and there is not immature convergence.The perfect performance of PGA is demonstrated by the simulation example.更多还原