▍1. 粒子群算法的寻优机制 pso
说明: 粒子群算法的寻优机制,另附十余个测试函数。主程序为test_basic(Particle Optimization Algorithm)
说明: 粒子群算法的寻优机制,另附十余个测试函数。主程序为test_basic(Particle Optimization Algorithm)
根据Degree Centrality、Co-Expression Weighted by clustering Coefficient、Betweenness Centrality、PeC等六种参数的计算来寻找关键蛋白质(Find the key proteins according to the calculation of Degree Centrality, Co-Expression Weighted by clustering Coefficient, Betweenness Centrality, PeC and other six parameters.)
说明: 根据Degree Centrality、Co-Expression Weighted by clustering Coefficient、Betweenness Centrality、PeC等六种参数的计算来寻找关键蛋白质(Find the key proteins according to the calculation of Degree Centrality, Co-Expression Weighted by clustering Coefficient, Betweenness Centrality, PeC and other six parameters.)
说明: 用matlab实现灰狼优化算法,用于最优化计算(Gray Wolf Optimization Algorithms with MATLAB for Optimal Computing)
说明: matlab实现蝙蝠优化(BA)算法,用于最优化计算(Bat optimization (BA) algorithm implemented by MATLAB for optimization calculation)
matlab实现蝙蝠优化(BA)算法,用于最优化计算(Bat optimization (BA) algorithm implemented by MATLAB for optimization calculation)
基于子区域的粒子群优化算法研究,粒子群算法是进化算法的一种,多用于路径规划等问题(Subregion-based Particle Swarm Optimization)
说明: 基于子区域的粒子群优化算法研究,粒子群算法是进化算法的一种,多用于路径规划等问题(Subregion-based Particle Swarm Optimization)
一个实现多目标进化计算的数据集,用来测试不同的真实pareto前沿(A data set for multi-objective evolutionary computation to test different real Pareto Frontiers)
说明: 一个实现多目标进化计算的数据集,用来测试不同的真实pareto前沿(A data set for multi-objective evolutionary computation to test different real Pareto Frontiers)
解决车间资源分配的动态调度问题,采用遗传算法(Solving the dynamic scheduling problem of workshop resource allocation, using genetic algorithm)
说明: 解决车间资源分配的动态调度问题,采用遗传算法(Solving the dynamic scheduling problem of workshop resource allocation, using genetic algorithm)
原始的最优化算法,用来求解最小值最大值,适合新手入门学习(fruit fly optimization)
说明: 原始的最优化算法,用来求解最小值最大值,适合新手入门学习(fruit fly optimization)
说明: 最新的进化算法的测试函数,可运行,供30个函数,以及包括一个标准pso代码(The test function of the latest evolutionary algorithm, which can run for 30 functions, and includes a standard PSO code)