A dynamic population reduction differential evolution algorithm combining linear and nonlinear strategy piecewise functions The population size has a great impact on the performance of the Differential Evolution (DE) algorithm, but in many classic DE algorithms, the population s... K Li,X Fu,F Wang...
This repository contains both a generic framework for implementing evolutionary algorithms (src/EvolutionaryAlgorithm) and an example of a concrete implementation of the Differential Evolution algorithm (src/DifferentialAlgorithm) with extensions supporting optimization of multi-objective minimization problems. Ben...
Differential evolution algorithm for optimizing the conflicting parameters in time-modulated linear array antennas. Prog. Electromagn. Res. B 2013, 51, 101-118.Mandal, S.K.; Mahanti, G.K.; Ghatak, R. Differential evolution algorithm for optimizing the conflicting parameters in time-modulated ...
Differential Evolution Algorithm with Interval Type-2 Fuzzy Logic for the Optimization of the Mutation Parameter. In Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications; Castillo, O., Melin, P., Kacprzyk, J., Eds.; Springer: Cham, Switzerland, ...
Differential Evolution Algorithm with Interval Type-2 Fuzzy Logic for the Optimization of the Mutation Parameter. In Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications; Castillo, O., Melin, P., Kacprzyk, J., Eds.; Springer: Cham, Switzerland, ...
Evolution algorithmThe performance of differential evolution algorithms is sensitive to the population size, and most existing population size control methods continuously reduce the population during the iteration process, which decreases the exploration ability and makes it difficult to prevent a premature ...
In this study, by the self-adaptive optimization of extreme learning algorithm using differential evolutionary algorithm (SaDE-ELM) the conduit capacity of sharp-crested weirs located on circular channels was modeled. First, according to the input parameters four SaDE-ELM models were introduced. Also...
considered wit h the thrust as impulse,the patched—conic method accompanied with dif erential evolution (DE) algorithm are applied to solve the global optimization traj ectory design problem.T hen the method is utilized to solve t he prob lem of t he T h ird N at ional D esign C ...
and these predictions were compared to the observed counts. Parameters were optimized through QMPE38, and the parameter search was conducted with the differential evolution algorithm, via the R package “DEoptim”39. As no analytic solution exists thus far for the probability density function of the...
这是一篇关于Differential Evolution (DE) 的综述, 由于对这类方法并不熟悉, 只能简单地做个记录.主要内容考虑如下问题,minf(X),minf(X),其中X=(x1,…,xD)X=(x1,…,xD).我所知的, 如梯度下降方法, 贝叶斯优化可以用来处理这类问题, 但是还有诸如 evolutionary algorithm (EA), evolutionary programming (EP...