《Differential evolution algorithm for hybrid flowshop scheduling problems》.pdf,Differentialevolutionalgorithmforhybridflow-shop schedulingproblems Ye Xu LingWang TsinghuaNationalLaboratoryforInformationScienceandTechnology,DepartmentofAutomation, Tsing
基于优进策略的差分进化算法及其化工应用 differential evolution algorithm based on eugenic strategy and its application to chemical engineering.pdf 2015-03-16上传 基于优进策略的差分进化算法及其化工应用 differential evolution algorithm based on eugenic strategy and its application to chemical engineering ...
(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...
throughout the evolution process and competes to produce offspring. The performance of EPSDE is evaluated on a set of 25 bound-constrained problems designed for Conference on Evolutionary Computation (CEC) 2005 and is compared with state-of-the-art algorithm. Keywords: Differential Evolution, Global...
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 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最优。为了解决这些问题,一些...
A self-adaptive differential evolution algorithm incorporate Pareto dominance to solve multi-objective optimization problems is presented. The proposed app... YN Wang,LH Wu,XF Yuan - 《Soft Computing》 被引量: 203发表: 2010年 An efficient multi-objective optimization algorithm based on swarm intellig...
Differential Evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms of current interest. DE operates through... A Ghosh,S Das,A Chowdhury,... - 《Information Sciences》 被引量: 138发表: 2011年 Differential evolution algorithm with ensemble of populatio...
2.1Differential Evolution The Differential Evolution (DE) algorithm is an evolution-based algorithm proposed by Storn, (1996). This algorithm implements mutation, crossover, and selection as operators in its structure. Different versions of DE are available. In this work, the version DE/x/y/z is...
To solve the problem, we first develop a mixed integer linear programming model and then propose an efficient co-evolutionary discrete differential evolution algorithm (CDDEA). In the CDDEA, several problem-specific heuristic rules are generated to construct initial population. A novel discrete ...
Differential Evolution Algorithm (DEA) is a simple population-based, stochastic parallel search evolutionary algorithm for global optimization and is capable of handling non-differentiable, nonlinear and multi-modal objective functions. In DEA the population consists of real-valued vectors with dimension D...