搜索资源列表
GA2
- 程序6：遗传算法工具箱使用例子； 程序7：多种群遗传算法的函数优化； 程序8：基于量子遗传算法的函数寻优； 程序9：基于遗传算法的多目标优化算法； 程序10：基于粒子群算法的多目标搜索算法-Program 6: examples of the use of genetic algorithm toolbox Program 7: multi-population genetic algorithm function optimization Program 8: a func
Multiple--algorithm-
- 多目标多群组粒子群工序算法实例程序,难得的源码-Groups multi-objective particle swarm algorithm processes the sample program
duo-mu-biao-xian-xing-you-hua
- 利用粒子群算法计算多目标线性优化问题的解-Using multi-objective particle swarm algorithm for solving linear optimization problems
down
- 智能算法30例源程序，包括粒子群算法，遗传发，免疫算法 等的单目标及多目标实际应用-30 cases of intelligent algorithm source code（MATLAB）
particle-swarm-multiple
- 粒子群多目标优化用于工业工程，具有约束条件下的多目标优化设计。- objective optimization of particle swarm multiple
PSO
- 基于粒子群的多目标优化搜索算法，欢迎使用-Multi-objective optimization search algorithm based on PSO, Welcome
SPSOS
- 多目标的粒子群算法例程，可以通过该粒子群遗传优化算法，进行matlab编程仿真，得到优化结果-Particle Swarm Optimization
GAPSO
- 遗传和粒子群算法的多目标例程，用了几个测试函数，效果还不错-Inheritance and multi-objective particle swarm optimization (pso) routines, used several test functions, the effect is good
jMetal-CPP-version
- 外国人写的基于C++的单目标和多目标优化源程序jMetal 4.5最新版的C++源程序，包括NSGA-II\SPEA2\MOPSO，以及单目标优化算法-粒子群PSO、差分进化DE等。-C++ version of jMetal 4.5
AISMOP2
- 该函数演示具有偏好等级的多目标perota优化问题(由粒子群算法改编求解ZDT1)-This function demonstrates the preference level of multi-objective perota optimization problem (by particle swarm algorithm for solving ZDT1)
MOEAPSO
- 多目标进化算法，使用粒子群，基于Pareto优化算法-Multi-Objective Evolutionary Algorithms with Particle Swarm Optimization used Pareto Solution
mopso2
- 粒子群算法优化问题，很适合初学者学习，非常清晰，解决多目标优化问题-Particle swarm optimization problem, it is suitable for beginners to learn, very clear, multi-objective optimization problem
PS0-TSP
- 多目标问题，粒子群优化算法，解决单旅行商问题-Multi-objective problem, particle swarm optimization algorithm to solve the traveling salesman problem alone
PSO
- 多目标优化代码,pso粒子群算法，该算法能够实现基础的单目标-Multi_objective optimization，pso
Biogeography-Optimization-algorithm
- 生物地理学优化算法，作者Dan Simon，是在遗传算法和粒子群算法的基础上发展来的，适用于解决高维度的，多目标的最优化问题。-Biogeography optimization algorithm, author Dan Simon, is based on genetic algorithm and particle swarm algorithm development to apply to solve high-dimensional, multi-objective optimiza
pso
- matlab粒子群算法和遗传算法是解决约束优化问题，无约束优化问题和多目标优化问题的优化算法-PSO and GA are good optimizational algorithms
matlab只能算法30个案例分析
- 智能优化30个案例 包括遗传算法 粒子群算法 多目标优化 神经网络等
MOEAs
- 多种多目标进化算法的集合，包括粒子群算法MOPSO，多目标遗传算法NSGA-II，以及MOEA/D等-a set of MOEAs,including MOPSO, NSGA-II, and MOEA/D.
Multi---objective-PSO
- 基于粒子群算法的多目标优化算法，结构简单，优化效果显著，用于多目标同时优化-Multi-objective particle swarm optimization algorithm, simple structure, optimize the effect is significant, for multi-objective optimization simultaneously
pos
- 改进后的粒子群算法，可用于求解规划问题，路径问题和相关多目标组合优化问题-The improved particle swarm optimization (pso) algorithm, can be used to solve the planning problem, the routing problem and the relevant multi-objective combinatorial optimization problem