Search - pso-fitness

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[Special Effects] psofunction DL : 0: pso 程序，一共三个，DeJong.m，get_psoOptions.m，pso.m结合起来就可以了，直接拷到work目录下就可以运行，其中get_psooptions中可以改设置，变成自己的； DeJong是适应函数，也可以改。-PSO procedures, a total of three, DeJong.m, get_psoOptions.m, pso.m combine, and they can work directly Manchester directory on the run, which get_psooptions can change settings, into its own; DeJong is the fitness function, but also to change.
Date : 2008-10-13 Size : 1011byte User : jun
[Special Effects] psofunction DL : 0: pso 程序，一共三个，DeJong.m，get_psoOptions.m，pso.m结合起来就可以了，直接拷到work目录下就可以运行，其中get_psooptions中可以改设置，变成自己的； DeJong是适应函数，也可以改。-PSO procedures, a total of three, DeJong.m, get_psoOptions.m, pso.m combine, and they can work directly Manchester directory on the run, which get_psooptions can change settings, into its own; DeJong is the fitness function, but also to change.
Date : 2025-12-26 Size : 1kb User : jun
[Special Effects] hPSO DL : 0: A hybrid Particle Swarm Optimization algorithm for finding the minimum of the function fitness in the real space.-Particle Swarm Optimization algo abbreviation for finding the minimum of the function fi tness in the real space.
Date : 2025-12-26 Size : 2kb User : chen
[Special Effects] pso DL : 0: 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO，是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是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。-Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is the recent development of a new evolutionary algorithm ((Evolu2tionary Algorithm- EA). PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting from a random solution, find the optimal solution by iteration, it is also used to evaluate the fitness solution through quality, but it is much simpler than the rules of the genetic algorithm, it is not genetic algorithm " cross" (Crossover) and " alternative" (Mutation) operations, which follow through to the optimal value of the current search to find the global optimum. This algorithm is known for its easy implementation, high accuracy, fast convergence, etc. attracted academic attention, and in solving practical problems to demonstrate its superiority.
Date : 2025-12-26 Size : 10kb User : 刘继宇
[Special Effects] xijunmishi-PSO DL : 0: 细菌觅食算法与粒子群优化算法相结合的程序，可以实现适应度函数的最值计算，有很好的参考价值。-Bacterial Foraging algorithm and particle swarm optimization combined program, you can achieve the best fitness function value, and have a good reference value.
Date : 2025-12-26 Size : 3kb User : 杨秀芳