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[Program doc] A hybrid particle swarm optimization algorithm for the vehicle routing problem.pdf DL : 1: 工程优化的一种新型pso算法。 A hybrid particle swarm optimization algorithm for the vehicle routing problem.pdf
Date : 2011-07-28 Size : 211.34kb User : zjllogic@126.com
[Program doc] GoodsAllocatingProblemwithMultiAimsbasedonTheHybri DL : 1: 多目标货物配装问题是一个复杂的组合优化问题，属于NP难问题，本文用混合粒子群算法求解多目标货物配装问题。混合粒子群算法在基本粒子群算法的基础上，通过引进遗传算法中的交叉和变异的策略，避免了陷入局部最优，加快了达到全局最优的收敛速度。此外，本文提出用权重系数来平衡各目标使各目标都能达到相对较优的效果。-Multi-objective loading of goods is a complicated combinatorial optimization problems are NP hard problems, this paper, hybrid particle swarm algorithm to solve multi-objective problem loading cargo. Hybrid Particle Swarm Algorithm in elementary particle swarm optimization based on genetic algorithm through the introduction of crossover and mutation of the strategy to avoid a fall into local optimum, global optimum to achieve accelerated convergence. In addition, this paper, the weight factor used to balance the various objectives so that the objectives can be achieved relatively better results.
Date : 2025-12-30 Size : 6kb User : 廖志
[Program doc] Proposal(Draft) DL : 0: Routing and Load balancing in MANET using Particle Swarm Optimization Abstract Mobile Ad Hoc Networks (MANET) is a collection of wireless mobile nodes, which dynamically form a temporary network, without using any existing network infrastructure or centralized administration. These are often called infrastructure-less networking since the mobile nodes in the network dynamically establish routing paths between themselves. Routing which is responsible for directing data packets from a source node to a given destination node is one of the hard tasks in MANET, this is due to the mobility of the network elements and the lack of central control. Although
Date : 2025-12-30 Size : 7kb User : Riham
[Program doc] Proposal(Draft)manet DL : 0: Routing and Load balancing in MANET using Particle Swarm Optimization Abstract Mobile Ad Hoc Networks (MANET) is a collection of wireless mobile nodes, which dynamically form a temporary network, without using any existing network infrastructure or centralized administration. These are often called infrastructure-less networking since the mobile nodes in the network dynamically establish routing paths between themselves. Routing which is responsible for directing data packets from a source node to a given destination node is one of the hard tasks in MANET, this is due to the mobility of the network elements and the lack of central control. Although
Date : 2025-12-30 Size : 7kb User : Riham
[Program doc] pso DL : 0: 子群优化算法中,粒子群由多个粒子组成,每个粒子的位置代表优化问题在D维搜索空间中潜在的解。根据各自的位置,每个粒子用一个速度来决定其飞行的方向和距离,然后通过优化函数计算出一个适应度函数值(fitness)。-Subgroup of particle swarm optimization algorithm is composed by a number of particles, each particle' s position represents to optimize the potential of the solution of the problem in the D-dimensional search space. According to the respective positions of each particle is determined with a speed of its flight direction and distance, and then through the optimization function to calculate a fitness function value (fitness).
Date : 2025-12-30 Size : 35kb User : wang
[Program doc] pso_WSN_HOMOGENEOUS DL : 0: Particle swarm optimization in wireless sensor networks
Date : 2025-12-30 Size : 2kb User : shishir
[Program doc] discrete-oEP DL : 0: Particle swarm optimization (PSO) is a novel metaheuristic inspired by the flocking behavior of birds. The applications of PSO to scheduling problems are extremely few.
Date : 2025-12-30 Size : 148kb User : bennisfirdaous
[Program doc] psooptimization2014 DL : 0: particle swarm optimization function for optimization
Date : 2025-12-30 Size : 40kb User : aryan tiwari
[Program doc] PSO_TaraNG DL : 0: particle swarm optimization to find the minima
Date : 2025-12-30 Size : 5kb User : aryan tiwari
[Program doc] liziqunsuanfa-matlab DL : 0: 粒子群算法基本原理介绍以及例程，内容详细，涵盖面广，辅助入门者加深对算法的理解-The basic principles of particle swarm optimization and routines, detailed and covers a wide range of auxiliary beginners to deepen understanding of the algorithm
Date : 2025-12-30 Size : 190kb User : 陈晨
[Program doc] 1 DL : 0: 粒子群算法在matlab下的研究，相关的理论知识-Particle swarm optimization in matlab, relevant theoretical knowledge
Date : 2025-12-30 Size : 597kb User : 杨振宇
[Program doc] 329 DL : 0: A HYBRID PARTICLE SWARM AND ANT COLONY OPTIMIZATION
Date : 2025-12-30 Size : 411kb User : soad tayeb
[Program doc] pso-simple DL : 0: 这个程序就是最基本的粒子群优化算法程序，用Matlab实现，非常简单-This program is the most basic particle swarm optimization algorithm, using Matlab to achieve, is very simple
Date : 2025-12-30 Size : 7kb User : dqme525
[Program doc] Machine-vision-analysis DL : 0: 硕士论文，基于机器视觉苹果检测算法的研究。主要内容包括：1、国内外研究现状及进展 2、苹果图像采集与处理 3、苹果大小与形状检测 4、粒子群优化的BP神经网络苹果颜色检测算法 5、遗传算法优化BP神经网络苹果缺陷检测算法 6、苹果检测系统的软件、硬件及界面设计-Research on Apple detection algorithm based on machine vision. The main contents include: 1, the domestic and foreign research present situation and the progress of 2, apple image acquisition and processing 3, the shape and size of Apple detection 4, particle swarm optimization of BP neural network in apple color detection algorithm 5, genetic algorithm optimization BP neural network for Apple defect detection algorithm 6, apple detection system software, hardware and interface design
Date : 2025-12-30 Size : 1.07mb User : 吕吉方
[Program doc] 02-0-PSO_Modified DL : 0: this code is PSO algorithm. work with this GA very simple.particle swarm optimization.
Date : 2025-12-30 Size : 1kb User : rezanasiripour
[Program doc] FuzzyPSO_2010-(1) DL : 0: A Fuzzy-Particle Swarm Optimization Based Algorithm for Solving Shortest Path Problem. Abstract—In this paper, an efficient particle swarm optimization (PSO) algorithm based on fuzzy logic for solving the single source shortest path problem (SPP) is proposed. A particle encoding/decoding scheme has been devised for particle-representation of the SPP parameters, which is free of the previously randomized path construction methods in computational problems like the SPP .The search capability of PSO is diversified by hybridizing the PSO with fuzzy logic. The local optimums will not be the point of convergence for the particles and the global optimum will be found in a shorter period of time if the PSO is correctly modified using fuzzy logic rules. Numerical computation results on several networks with random weights illustrate the efficiency of the proposed method for computation of the shortest paths in networks
Date : 2025-12-30 Size : 199kb User : mina
[Program doc] 自适应PSO与MPPT DL : 0: 将粒子群优化算法引入光伏电池最大功率追踪，对于研究MPPT的人员，可以参考学习(Particle swarm optimization (PSO) algorithm is introduced into maximum power tracking of photovoltaic cells, which can be used as a reference for people who study MPPT.)
Date : 2025-12-30 Size : 782kb User : 1014871591@qq.com