《Differential evolution algorithm for hybrid flowshop scheduling problems》.pdf,Differentialevolutionalgorithmforhybridflow-shop schedulingproblems Ye Xu LingWang TsinghuaNationalLaboratoryforInformationScienceandTechnology,DepartmentofAutomation, Tsing
Differential Evolution Algorithm:差分进化算法 热度: 基于混合变异策略差分进化算法的边坡滑裂面搜索研究 热度: Differential Evolution - A simple:差分进化-一个简单的 热度: 混合波动差分进化算法 刘荣辉1,2李蓓1 1.河南城建学院计算机科学与工程系,河南平项山467036;2.东华大学管理学院,上海200051 ...
差分进化算法(Differential Evolution Algorithm,DE)介绍 目录 前言 差分进化算法 初始化种群 变异操作 交叉操作 选择操作 算法流程 C语言伪代码 参考文献 前言 差分进化算法(Differential Evolution Algorithm,DE)由Storn和Price于1995年提出,最早用来解决切比雪夫多项式问题。 DE 采用实数编码方式, 其算法原理与遗传算法.....
Keywords:diferentialevolution;chaoticmapping;trajectoryoptim i zation;onlineoptim i zation;ballandplatesystem l 引 言 轨迹优化的总目标是使运动物体运动到期望目 标点,且在整个过程中不碰到任何一个障碍物,与此 同时尽量使代价最小、路线最短或是运动时间最短. ...
A differential evolution algorithm is defined as a type of evolutionary algorithm that involves population-based procedures such as mutation, crossover, and selection, with a focus on generating mutant and trial vectors for optimization problems. ...
In this article, a memetic discrete differential evolution (MDDE) algorithm is proposed to address the distributed permutation flow shop scheduling problem (DPFSP) with the minimization of the makespan. An enhanced NEH (Nawaz–Enscore–Ham) method is presented to produce potential candidate solutions...
Simple Differential Evolution AlgorithmHwB
基于差分进化算法的聚类:A Differential Evolution Algorithm with Ada Niching and K-Means Op for Data Clustering Freeman449 2 人赞同了该文章 概述 通过最小化类内方差实现聚类是一个NP难的问题,因此,有作者提出使用进化计算来解决聚类问题。早期基于传统进化算法的方法具有计算复杂度高的问题,同时容易受困于局部...
In this paper, the differential evolution algorithm is adopted to optimize the injection-production scheme based on minimizing the water cut, which provides a new idea and method for the formulation of the optimum production project. First, the objective function of production optimization needs to ...
(DE) for global permutative-based combinatorial optimization. Since its original development, DE has mainly been applied to solving problems characterized by continuous parameters. This means that only a subset of real-world problems could be solved by the original, classical DE algorithm. This book...