Search - particle swarm optimization

Search - particle swarm optimization - List

[assembly language] tsppso DL : 0: 用PSO（粒子群算法）求解TSP问题的程序-With PSO (Particle Swarm Optimization) to solve TSP problems procedures
Date : 2025-12-30 Size : 21kb User : miaomiaojiaoer
[assembly language] 121212 DL : 0: 粒子群优化算法程序设计，非常有用的程序，希望对大家有用-Particle Swarm Optimization Program Design
Date : 2025-12-30 Size : 208kb User : 王玉勤
[assembly language] PSO DL : 0: 应用粒子群算法，进行全局寻优，实现了标准全局版粒子群算法的单步更新-Particle swarm optimization, global optimization, single-step update of the standard global version of the particle swarm algorithm
Date : 2025-12-30 Size : 2kb User : 赵无棣
[assembly language] PSO DL : 0: 粒子群优化的基本算法，利用该方法求解非线性方程组-The basic particle swarm optimization algorithm, using this method for solving nonlinear equations
Date : 2025-12-30 Size : 1kb User : blueice
[assembly language] PSO-ACPSOduibi DL : 0: 粒子群和自适应混沌粒子群算法的程序，作了简单对比-Chaos particle swarm optimization and adaptive particle swarm optimization program, made a simple comparison
Date : 2025-12-30 Size : 2kb User : gonglili
[assembly language] lzqyhsf DL : 0: 本程序为粒子群优化算法，可用于优化计算，能够运行。-Particle swarm optimization algorithm
Date : 2025-12-30 Size : 23kb User : 王良
[assembly language] LIZIQUNsuanfachengxu DL : 0: 粒子群算法程序，基于MATLAB软件实现，优化参数等-Particle swarm optimization program, based on MATLAB software to optimize parameters
Date : 2025-12-30 Size : 2kb User : qiboci
[assembly language] youhua-rbf-de-suanfa DL : 0: 粒子群算法优化神经网络的参数，应用到故障诊断的应用中去-Parameters particle swarm optimization neural network is applied to fault diagnosis of the application to
Date : 2025-12-30 Size : 2.73mb User : qiboci
[assembly language] PSOGSA DL : 0: 程序提出了一种基于人群混合算法，是粒子群优化和引力搜索算法的组合。主要目标提高整合PSO和GSA算法的能力-Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA) A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.
Date : 2025-12-30 Size : 149kb User : chicen
[assembly language] program DL : 0: 在matlab, 利用粒子群算法（PSO）实现函数极值优化-In matlab, using particle swarm optimization (PSO) to achieve function extreme optimization
Date : 2025-12-30 Size : 10kb User : Ethen
[assembly language] mization DL : 0: Recently more research works are focused on multi-objective particle swarm optimization algorithm (MOPSO) due to its ability of global and local search for solving multi-objective optimization problems (MOOPs) however, most of existing MOPSOs cannot achieve satisfactory results in solution quality. This paper proposes an efficient hybrid multi-objective particle swarm optimization with a multi-objective dichotomy line search (MOLS), named MOLS-MOPSO, to deal with such problem. MOLS-MOPSO combines an effective particle updating strategy with the local search of MOLS. The effective particle updating strategy is used for global search to deal with premature convergence and diversity maintenance within the swarm-Recently more research works are focused on multi-objective particle swarm optimization algorithm (MOPSO) due to its ability of global and local search for solving multi-objective optimization problems (MOOPs) however, most of existing MOPSOs cannot achieve satisfactory results in solution quality. This paper proposes an efficient hybrid multi-objective particle swarm optimization with a multi-objective dichotomy line search (MOLS), named MOLS-MOPSO, to deal with such problem. MOLS-MOPSO combines an effective particle updating strategy with the local search of MOLS. The effective particle updating strategy is used for global search to deal with premature convergence and diversity maintenance within the swarm
Date : 2025-12-30 Size : 4.36mb User : yangsss
[assembly language] m-particle-swarm-optimization DL : 0: 多目标粒子群算法，在基本粒子群算法的基础上进行了改进，程序简单明了。-Multi-objective particle swarm algorithm based on particle swarm algorithm has been improved, the program is simple and straightforward.
Date : 2025-12-30 Size : 11kb User : wanls
[assembly language] newthreepsotosvm DL : 0: 用粒子群算法解决SVM问题的代码，希望对大家有帮助！-Using particle swarm optimization (pso) algorithm to solve the problem of SVM code, I hope it can help you!
Date : 2025-12-30 Size : 2kb User : majing
[assembly language] AsyLnCPSO DL : 0: 用学习因子异步变化的粒子群优化算法求解无约束优化问题-Using asynchronous learning factor variation of particle swarm optimization algorithm for solving unconstrained optimization problems, are helpful to you!
Date : 2025-12-30 Size : 1kb User : majing
[assembly language] BreedPSO DL : 0: 用基于交叉遗传的粒子群优化算法求解无约束优化问题-Based on cross genetic particle swarm optimization algorithm for solving unconstrained optimization problems, are helpful to you!
Date : 2025-12-30 Size : 1kb User : majing
[assembly language] CLSPSO DL : 0: 用混沌粒子群优化算法求解无约束优化问题,希望对大家有帮助！-Chaotic particle swarm optimization algorithm for solving unconstrained optimization problems, I hope it can help you!
Date : 2025-12-30 Size : 1kb User : majing
[assembly language] LinWPSO DL : 0: 用线性递减权重粒子群优化算法求解无约束优化问题,希望对大家有帮助！-With a linear gradient weight of particle swarm optimization algorithm for solving unconstrained optimization problems, I hope it can help you!
Date : 2025-12-30 Size : 1kb User : majing
[assembly language] PSO_CO DL : 0: 一种改进的粒子群优化算法，作用是避免算法过早收敛-An improved particle swarm optimization algorithm, is to avoid premature convergence algorithm
Date : 2025-12-30 Size : 1kb User : XYY
[assembly language] psoSVM DL : 0: 利用粒子群优化算法优化支持向量机的惩罚参数Cg，提高效率、准确率。-Particle swarm optimization algorithm to optimize SVM penalty parameter Cg, improve efficiency and accuracy.
Date : 2025-12-30 Size : 1kb User : 老醋花生
[assembly language] pso61wtl DL : 0: 粒子群算法用于优化求解函数最小值，此算法收敛速度快，很快找到最小值。-Particle Swarm Optimization (PSO) is used to optimize the minimum value of the function. The algorithm converges quickly and finds the minimum value.
Date : 2025-12-30 Size : 1kb User : 冯利

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