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GAF-GameApplicationFramework PC游戏编程入门(入门篇)的附带源码-GAF-GameApplicationFramework PC game programming entry (entry papers) collateral source
Update : 2025-04-07 Size : 154kb Publisher : 李夏光

实用遗传算法对控制器的三个参数整定,用matlab进行仿真分析可以得到较优的解。-use GA to adjust three parameters of cybernetics
Update : 2025-04-07 Size : 1kb Publisher : xiaozhou

Optimal power flow (OPF) is one of the nonlinear problems of power system. The various algorithms for solving optimal power flow problem are found in the literature. The genetic algorithm (GA) based solution techniques are found to be most suitable because of their ability of simultaneous multidimensional search for optimal solution. This paper presents a novel GA-Fuzzy based approach for solving OPF. The GA parameters e.g. crossover and mutation probabilities are governed by fuzzy rule base. Algorithms for GA-OPF and GA-Fuzzy (GAF) OPF are developed and compared. The results obtained for these systems demonstrate that the GAF-OPF has faster convergence and lesser generation costs as compared to various methods tested for above systems. KEYWORDS: optimal power flow, genetic algorithm, GA-Fuzzy approach Authors
Update : 2025-04-07 Size : 432kb Publisher : rezwan
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