搜索资源列表
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
- 动态粒子群算法源程序，来源于matlab智能算法30个案例-Dynamic particle swarm algorithm source code, matlab intelligent algorithm from 30 cases
DPSO
- Discrete Particle Swarm Optimization for Web Services Composition based on QoS
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
different segmentation fso dpso etc
- brain tumor detection matlab code
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