搜索资源列表
BINARYPSO
- binary pso for particle swarm optimisation
GoodsAllocatingProblemwithMultiAimsbasedonTheHybri
- 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 p
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- 针对小生境粒子群优化技术中小生境半径等参数选取问题，提出了一种新颖的小生境方法，无须小生 境半径等任何参数。通过监视粒子正切函数值的变化，判断各个粒子是否属于同一座山峰，使其追踪所在山峰 的最优粒子飞行，进而搜索到每一座山峰极值。算法实现简单，不仅克服了小生境使用中需要参数的弊端，而且 解决了粒子群算法只能找到一个解的不足。最后通过对多峰值函数的仿真实验，验证了算法可以准确地找到所 有山峰-Proposed a novel niche for niche particle
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- 针对小生境粒子群优化技术中小生境半径等参数选取问题，提出了一种新颖的小生境方法，无须小生 境半径等任何参数。通过监视粒子正切函数值的变化，判断各个粒子是否属于同一座山峰，使其追踪所在山峰 的最优粒子飞行，进而搜索到每一座山峰极值。算法实现简单，不仅克服了小生境使用中需要参数的弊端，而且 解决了粒子群算法只能找到一个解的不足。最后通过对多峰值函数的仿真实验，验证了算法可以准确地找到所 有山峰-Proposed a novel niche for niche particle
OPSO
- Research on multi-mode resource constrained project scheduling based on particle swarm optimization algorithm.rar
chapter10
- 基于粒子群算法的多目标搜索算法 基于粒子群算法的多目标搜索算法-Multi-target search algorithm based on particle swarm optimization based particle swarm algorithm for multi-target search algorithm
main
- 基于粒子群算法的多目标搜索算法，主要解决背包问题，直接运行即可 -Multi-objective particle swarm optimization-based search algorithm, mainly to solve the knapsack problem, can be run directly
The-Multi-user-Detection-paper
- 提出了基于联合智能算法的MIMO-OFDM系统多用户检测算法。联合智能算法结合了粒子群优化算法、遗传算法、模拟退火算法的思想。-Joint intelligent algorithm is proposed based on multi-user detection algorithm of MIMO- OFDM system. Combined intelligent algorithm combining particle swarm optimization algorithm and g
PSO-Algorithm
- 一些粒子群优化算法的论文，全面地介绍了粒子群算法的各种改进，如多目标优化算法，介绍了粒子群算法的应用和基本原理，对于想对粒子群算法有一个全面的初步了解的同学很有帮助，对于想在粒子群算法里有所突破的人也可以提供一些启示。-Some PSO papers, comprehensive introduction to the PSO algorithm various improvements, such as multi-objective optimization algorithm, descr
image-segmentation
- 基于改进 PSO算法的 Otsu快速多阈值图像分割,基于 Renyi 熵与 PSO 算法的图像多级阈值分割-Fast Multilevel Threshold Method for Image Segmentation Based on Improved Particle Swarm Optimization and Maximal Variance,Image multi-thresholding using Renyi entropy and PSO
FOPID2
- In this paper, the design of fractional-order PID controller is considered in order to minimize certain performance indices such as integral absolute error, integral square error and integral time absolute error. The design-construction leads to a hi
PAPER1
- 室内噪声环境下气味源的多机器人微粒群搜索方法-Multi-particle swarm robots odor source search method of indoor noise environment
Swarm-robot
- 群机器人在动态未知环境下，多目标搜索；通过自组织任务分工实现搜索并行进行，且能够有效的避开动态及凸障碍物。-Group of robots in dynamic unknown environments, multi-objective search Through the self-organization tasks to achieve parallel search, and can effectively avoid dynamic and convex obstacles.
MOPSOmatlab
- 多目标粒子群算法（多目标粒子群的基本源代码,两个目标的源代码）-Multi-objective Particle Swarm Optimization
Particle-Swarm-Optimization
- 本文提出变量随机分解策略，增加关联变量分配到同组的概率，使得算法更好的保留变量间的关联性，并将合作协同进化框架融合到算法中，提出了基于大规模变量分解的多目标粒子群优化算法-In this paper, a stochastic variable decomposition strategy is proposed to increase the probability of assigning related variables to the same group, which makes th
MOPSO-MATLAB
- 多目标粒子群算法是模拟动物群体的社会行为，找到一个最优设计点的过程比作这些生物的觅食活动。换句话说，这些例子在设计空间中寻找最好的位置。-Multi-objective Particle Swarm social behavior is simulated animal groups, a process to find the optimal design point likened foraging activity of these organisms. In other words, t
PSO-MATLAB
- 一个例子的最佳位置和沿着当前速度和惯性方向的邻元素被用来决定下一个例子的位子。多目标粒子群的优化算法简介如下-An example of the best location and along the current speed and direction of inertia neighbors are used to determine the next example of the seat. Introduction to multi-objective optimization alg
MOPSO-based-on-adaptive-mutaiton
- 基于自适应变异的对多目标粒子群算法的改进算法-Based on the multi-objective particle swarm algorithm for improved algorithm of adaptive mutation
Multi-objective
- 多目标粒子群算法是将多目标算法和粒子群算法结合起来的一种优化算法-Multi-objective Particle Swarm Optimization is an optimization algorithm combining multi-objective algorithm and particle swarm optimization
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- 不确定环境下的机器人路径规划的多目标粒子群优化算法-Robot path planning in uncertain environment using multi-objective particle swarm optimization