基于Matlab工具的遗传算法求解有约束最优化问题
2019-12-21 21:53:47 786KB 遗传算法
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对于约束独立分析(CICA)进行了程序编写,程序中已经给出实例,可直接运行。
2019-12-21 21:52:14 654KB cica matlab ica-r
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含风电电力系统的多时间尺度模糊机会约束动态经济调度模型
2019-12-21 21:52:10 567KB 经济调度
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有关于数学建模方面,规划类部分文件,包含线性规划、随机规划等等,详细介绍了遗传算法
2019-12-21 21:46:32 3.29MB 随机规划 机会约束 数学建模 遗传算法
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android demo,ConstraintLayout (约束布局),该demo详细的介绍了layout_constraint布局的所有属性。
2019-12-21 21:35:25 8.35MB android demo ConstraintLayout
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利用回溯法解决资源约束下的二维动态规划问题(matlab)问题
2019-12-21 21:17:09 3KB 回溯法
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该Matlab程序采用PSO粒子群算法对一个具有四自由度的运动学冗余机械臂求运动学逆解,可以完成对机械臂的位置控制。此外,求解出的最优关节角度值能满足各个关节的限位约束。
2019-12-21 21:15:52 8KB PSO算法
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花了一天写的MATLAB遗传算法,解决多车有容量约束VRP问题,运行成功。花了一天写的MATLAB遗传算法,解决多车有容量约束VRP问题,运行成功。花了一天写的MATLAB遗传算法,解决多车有容量约束VRP问题,运行成功。
2019-12-21 21:14:09 5KB MATLAB 遗传算法 多车 有容量约束
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http://www.mathworks.com/matlabcentral/fileexchange/25986-constrained-particle-swarm-optimization Description Previously titled "Another Particle Swarm Toolbox" Introduction Particle swarm optimization (PSO) is a derivative-free global optimum solver. It is inspired by the surprisingly organized behaviour of large groups of simple animals, such as flocks of birds, schools of fish, or swarms of locusts. The individual creatures, or "particles", in this algorithm are primitive, knowing only four simple things: 1 & 2) their own current location in the search space and fitness value, 3) their previous personal best location, and 4) the overall best location found by all the particles in the "swarm". There are no gradients or Hessians to calculate. Each particle continually adjusts its speed and trajectory in the search space based on this information, moving closer towards the global optimum with each iteration. As seen in nature, this computational swarm displays a remarkable level of coherence and coordination despite the simplicity of its individual particles. Ease of Use If you are already using the Genetic Algorithm (GA) included with MATLAB's Global Optimization Toolbox, then this PSO toolbox will save you a great deal of time. It can be called from the MATLAB command line using the same syntax as the GA, with some additional options specific to PSO. This will allow a high degree of code re-usability between the PSO toolbox and the GA toolbox. Certain GA-specific parameters such as cross-over and mutation functions will obviously not be applicable to the PSO algorithm. However, many of the commonly used options for the Genetic Algorithm Toolbox may be used interchangeably with PSO since they are both iterative population-based solvers. See >> help pso (from the ./psopt directory) for more details. Features * NEW: support for distributed computing using MATLAB's parallel computing toolbox. * Full support for bounded, linear, and nonlinear constraints. *
2019-12-21 21:10:14 46KB 粒子群 约束优化 非线性约束 Matlab
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一个含有约束的粒子群算法。计算电动汽车在能量调度,也有负荷数据,风电数据和光电数据可以参考
2019-12-21 21:08:57 4KB 约束 粒子群 电动汽车
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