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[source in ebook] 360139 DL : 0: In this paper, an attractive approach for teaching genetic algorithm (GA) is presented. This approach is based primarily on using MATLAB in implementing the genetic operators: crossover, mutation and selection
Date : 2026-01-10 Size : 95kb User : ABDELHEDI
[source in ebook] 003-matlab- DL : 0: MATLAB智能算法30个案例分析源码，一元函数寻优，NIND=40 个体数目 MAXGEN=20 最大遗传代数 PRECI=20 变量的二进制位数 GGAP=0.95 代沟 px=0.7 交叉概率 pm=0.01 变异概率-Intelligent algorithm MATLAB source 30 case studies, one dollar function optimization, NIND = 40 the number of individuals MAXGEN = 20 maximum genetic algebra PRECI = 20 binary digit variable GGAP = 0.95 gap px = 0.7 crossover probability pm = 0.01 mutation probability
Date : 2026-01-10 Size : 1kb User : ww
[source in ebook] PSO_about DL : 0: 粒子群算法matlab代码吐血推荐。粒子群算法，也称粒子群优化算法，是近年来发展起来的一种新的进化算法。它是从随机解出发，通过迭代寻找最优解，通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。-PSO algorithm matlab code recommended blood. Particle swarm optimization, also known as PSO, is a new evolutionary algorithm developed in recent years. It is starting random solutions, through iterative find the optimal solution, by adapting to uate the quality of the solution, but it' s much simpler than genetic algorithm rule, it is not genetic algorithm " crossover" (Crossover) and " variation" (Mutation ) operation, which by following the current optimum value to search to find the global optimum. This algorithm is its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and demonstrated its superiority in solving practical problems. Particle swarm algorithm is a parallel algorithm.
Date : 2026-01-10 Size : 2.37mb User : Charlie