搜索资源列表
mopso
- 智能微粒群学习算法，可用于分类及特征优化等等。该算法实现过程简单，清晰。-Intelligent Particle Swarm learning algorithm can be used to optimize the classification and characteristics and so on. Implementation process of the algorithm is simple and clear.
PSO_solution_to_economic_dispatch
- 利用PSO算法解决经济批量分发问题的matlab源代码，求解多目标函数与成本最小值。-Use PSO algorithm to solve economic volume distribution of the matlab source code for solving multi-objective cost function and the minimum value.
mopso
- 此程序为多目标粒子群程序，开发软件为Visual C-This procedure for the multi-objective particle swarm procedures, to develop software for the Visual C++
mopso
- this the MOPSO source code, it s useful for resolution of multi objectif problem
ezt1t1al
- 粒子群算法源程序，包括MOPSO,FMOPSO-Particle swarm algorithm source code, including MOPSO, FMOPSO
MOPSO
- Multi-objective PSO optimization algorithm code in Matlab
MOPSO-using-matlab.doc
- 介绍粒子群算法的基本原理以及各种改进方法，然后写出算法的源代码-Introduced the basic principles of particle swarm optimization and a variety of improvements, and then write the source code of the algorithm
MOPSO
- code of mopso in matlab
mopso
- matlab code for mopso algorithm
MOPSO
- MOPSO代码实现，对MOPSO的算法进行了具体的代码描述，清晰地体现代码实现过程。-MOPSO code for MOPSO algorithms specific code descr iption clearly reflect the code implementation process.
MOPSO
- mopso algorithm-optimization code matlab-mopso algorithm-optimization code matlab
MOPSO
- MOPSO matlab code- (Multi-Objective Particle Swarm Optimization algorithm) - An evolutionary multi-objective optimization algorithm
ypea121-mopso
- matlab code for mopso optimization
MOPSO
- MOPSO code with test function
mopso c
- 此文件夹为基本粒子群算法的c代码实现，测试了文章MOPSO-CD中的问题(This folder for the basic particle swarm algorithm c code to test the article MOPSO-CD problems)
YPEA121 MOPSO
- MOPSO详细代码 数值算法/人工智能/matlab例程(MOPSO detailed code, numerical algorithm / AI /matlab routines.)
mopso
- MOPSO多目标粒子群优化算法c++实现（内附其对应论文），其代码写作规范具有参考价值，其对应论文供大家学习与交流。(MOPSO multi-objective particle swarm optimization algorithm c++ implementation (with its corresponding papers), its code writing specification has a reference value, the corresponding papers
mopso
- 里面给出MOPSO算法的源码和解释，并给出测试函数(It gives the source code and explanation of MOPSO algorithm, and gives the test function)
mopsodemo
- 多目标粒子群算法，程序中有例子，也有数据文件。(mopso demo There are examples and data files in the program.)
SSMOPSO code
- 形成策略被用来形成稳定的生态位，小生境/子种群被优化以并行地搜索和维护帕累托最优解。此外，还提出了一种自组织机制，以提高物种制定的效率和算法的性能。为了在决策空间和目标空间保持解决方案的多样性，SS-MOPSO采用了非主导排序方案和特殊拥挤距离技术。(In the proposed method, the speciation strategy is used to form stable niches and these niches/subpopulations are optimized