伪并行遗传算法 meaning in English
ppga
Examples
- Improved pseudo - parallel genetic algorithm
提出了一种改进的伪并行遗传算法 - Application of improved pseudo - parallel genetic algorithm for job - shop scheduling problem
一种新的伪并行遗传算法在车间调度中的应用研究 - Simulation results showed that cppga improved the convergence velocity and search probability of optimization solution , and got good optimization strategy for fire distribution
仿真结果表明，混沌伪并行遗传算法比伪并行遗传算法和简单遗传算法具有更快的收敛速度和更高的最优解搜索成功率，可对火力分配进行优化。 - Ga has the common shortcomings while applied in large - scale network , such asconsuming huge calculation time , easy to be trapped by local fninimize and not so goodability of searching local optimal solution . the pseudo - parallel ga technology and adaptivechanging population size are used to generate ndtial populaton , thus elevating the quality ofinitial population and furthermore improving optimal solution , voltage / reactive is of localcharacteristic in actual power system , and this fetch oul decomposing sub - area ga accordingto network natural management region
提出采用变群体规模的伪并行遗传算法获得初始解群体，极大地改善了初始解群体的质量；根据无功/电压问题的区域性特点，按照电网的自然管理分区，实现了遗传算法的分区分解计算；将常规的二次规划模型的无功优化方法与遗传算法有机地结合，构成了独具特色的混合遗传算法。