搜索资源列表
NSGA-II多目标规划代码(matlab版)
- 印度Deb教授开发的Non-dominating Sorting Genetic Algorithm的改进版本,非常适合parato封面逼近运算。
differentialevolution.rar
- 非常好的差分进化matlab程序,包括源代码和例子,可用于优化计算,多目标规划等方面,Matlab differential evolution very good procedures, including source code and examples, can be used to optimize the calculation, multi-objective planning
多目标粒子群算法(vbpso)
- VBPSO算法,方便实用,能解决各种多目标优化问题。
optimization_cases_using_GA
- 运用遗传算法进行多元多峰函数优化,多目标问题优化!有案例!可以运行!-using Genetic Algorithm to test multi-peak function and multi-objective function.
PSO
- 粒子群算法的Matlab程序,用于多目标优化极值的计算-Particle swarm optimization Matlab program for calculation of extreme multi-objective optimization
electre3
- 多目标决策;多属性决策;matlab代码;ELECTRE iii -MCDM MADM MATLAB ELECTRE iii
PlatEMO
- 多目标优化算法平台,内涵多种遗传算法和进化算法,图形界面,算法齐全并且最新的(Multi objective optimization algorithm platform, the connotation of a variety of genetic algorithm and evolutionary algorithm, graphical interface, algorithm is complete and up-to-date)
煤矿节能减排多目标优化研究
- 针对传统煤矿节能减排优化模型选取的目标函数比较单一的问题,构建了涵盖经济效益、能源消耗、污染物排放量等目标函数的煤矿节能减排多目标优化模型,并应用基于改进的蝙蝠算法寻找3个目标函数之间的优化解,实现了经济效益最大化、能源消耗最低化、污染物排放量最少化的优化结果。仿真结果表明,相比于PSO-E、NSGA-II算法,改进的蝙蝠算法能够在较短的迭代步数内获取较高的个体适应度,且能够实现较佳的多目标优化结果,符合节能规划的目标需求。(Aiming at the problem that the obje
NSGA-II
- matlab实现的多目标优化遗传算法代码。可输出结果并画图。(The matlab program of NSGA-II.)
TestProblems
- 多目标优化测试函数集合,主要包括ZDT1~ZDT6以及DTLZ1~DTLZ6函数、TYD、UF等测试函数的数学模型,标准Pareto解集,非常实用。(Multi-objective optimization test function set, mainly including the ZDT1~ZDT6 and DTLZ1~DTLZ6 function, TYD, UF and other test functions of the mathematical model, the standa
MOALO2
- 多目标蚁狮优化算法,适用于求解多目标优化问题(Multi objective ant lion optimization algorithm is applied to solve multi-objective optimization problems.)
NSGAⅡ
- 利用NSGAⅡ算法处理多目标优化问题,测试函数包括ZDT1,2,3; DTLZ1,2,3。包含测试函数的真实前沿面数据。(NSGA II algorithm is used to deal with multi-objective optimization problems. The test functions include ZDT1,2,3 and DTLZ1,2,3. Contains the real frontier data of the test function.)
基于神经网络的智能微电网多目标优化算法
- 智能微电网中利用粒子群算法实现微电网多目标优化(Multi-objective optimization of microgrid based on Particle Swarm Optimization in smart microgrid)
多目标粒子群算法
- 利用粒子群算法求解函数的极值,用于多目标模型优化(Solving the extreme value of a function using particle swarm optimization algorithm for multi-objective model optimization)
f
- 用于求解多目标优化,适用于一般的求解问题,实用性强(It is applied to solve multi-objective optimization problems, and is suitable for solving general problems.)
PSO
- 采用粒子群算法求解多目标优化问题,有注释(Using particle swarm optimization to solve multi-objective optimization problems with annotations)
基于遗传算法的多目标优化
- Matlab源码,通过非支配排序NASA-II,实现通过遗传算法求解多目标优化。
MOEA-master
- matlab是一种编程软件,也称矩阵实验室. 在数值计算方面做出了很大的贡献. 多目标优化问题是最优化领域中的一种优化方法,得出的解是折衷解. 多目标优化问题可以分为约束多目标优化问题和无约束多目标优化.在实际生活中,有很多问题都可以被视为多目标优化问题,如旅行商问题、工程问题,证券投资问题等,然而采用matlab编程软件具有很好的求解展示效果.(Matlab is a programming software, also known as a matrix laboratory. It has
MOPSO多目标粒子群优化算法MATLAB实现
- MOPSO多目标粒子群优化算法MATLAB实现(可直接运行)(MOPSO multi-objective particle swarm optimization algorithm MATLAB (can be directly run))
cplex多目标优化
- 利用matlab求解多目标优化问题,适合大规模求解,结合cplex