搜索资源列表
DPSO
- 求解TSP问题的动态邻域粒子群优化算法 （论文）
DPSO-C.tar
- 耗散粒子群（DPSO）优化算法C程序及其测试实例
DPSO.离散二进制粒子群算法
- 离散二进制粒子群算法 DPSO ,DPSO
DPSO
- 处理旅行商问题的离散PSO算法的例程，动态生成路径串，算法本身保证了路径串的合法性-Traveling salesman problem to deal with discrete PSO algorithm routines, dynamically generated path string, the algorithm itself, guarantee the legitimacy of the path string
DPSO
- 综合的微粒群智能分类算法，考虑了不同的学习因子，可根据不同的数据特点进行选择。-Particle Swarm integrated intelligent classification algorithms, taking into account different learning factor, according to the characteristics of different data selection.
DPSO
- 本文将中期多样性作为影响个体威力行为的关键因素和描述种群的重要指标，提出了一种基于多样性反馈的粒子群算法- PSO Particle Swarm Optimization
dpso
- 离散微粒群优化算法解决流水线调度问题。包含多个有名算法：NEH，局部搜索算法等。-Discrete Particle Swarm Optimization algorithm to solve assembly line scheduling problem. Contains several well-known algorithms: NEH, local search algorithm.
DPSO--QOS-
- 基于DPSO的无线传感器网络QOS路由算法-Based on the wireless sensor network DPSO QOS routing algorithm
dpso
- 动态粒子群算法（dpso），有很好的优化效果。-Dynamic particle swarm optimization (dpso), have a good optimization results.
DPSO
- 粒子群算法用于解决离散问题,主程序是离散粒子群算法解决旅行商问题-Discrete particle swarm algorithm is used to solve the problem, the main program is a discrete particle swarm algorithm to solve the traveling salesman problem
DPSO
- 离散粒子群算法。粒子群算法原来只能处理连续变量，算法进行了改进，可以处理离散变量-Discrete particle swarm optimization algorithm, particle swarm optimization algorithm can only deal with continuous variables, the algorithm is improved, can handle discrete variables
twice-update-PSO
- 本文二次更新型粒子群算法（ TUPSO）的基本思想是：一方面，在保留粒子群算法中快速收敛， 易于实现， 调整参数少等优势的前提下，通过融合基本粒子群算法中的信息共享原理与 DPSO-TSP 中的 2-Opt 运算法则，改进了DPSO-TSP中粒子进化的规则-In this paper, the basic idea of the new particle swarm optimization (TUPSO) algorithm is: on the one hand, by integratin
PSO寻优 论文采用
- 验证基于DPSO 算法的合作感知调度方案在各个LN 的网络特征不同 的异构CRNMLNS 中也能获得同样的性能(CRNMLNS, a cooperative sensing scheduling scheme based on discrete particle swarm optimization (DPSO) algorithm was proposed)
DPSO
- A dissipative particle swarm optimization is developed according to the self-organization of dissipative structure. The negative entropy is introduced to construct an opening dissipative system that is far-from-equilibrium so as to driving the irreve
DPSO
- 粒子群算法，以云环境下的任务调度算法为例，在cloudsim仿真平台进行，java(pso algorithm ,Task Scheduling Algorithm Based on PSO Under Cloud Environment Algorithm design.)
第十章粒子群
- 对多峰搜索问题提出了一类动态微粒群算法,该算法通过变换函数将多峰问题中的所有峰变为等高峰(A kind of dynamic particle swarm optimization (DPSO) algorithm is proposed for multi-peak search problem. The algorithm transforms all the peaks in multi-peak problem into equal peaks by transforming funct
DEPSO求极值
- 改进的差分粒子群算法，并用于求函数极值，程序中分别于DE PSO 蛙跳进行对比，结果显示，改进的差分粒子群更好(The improved Differential Particle Swarm Optimization (DPSO) algorithm is used to find the function extremum. The program is compared with DE PSO frog jump, and the results show that the improve