Journal ArticleDOI
Differential evolution with neighborhood-based adaptive evolution mechanism for numerical optimization
Mengnan Tian,Xingbao Gao +1 more
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TLDR
A novel differential evolution algorithm for numerical optimization by designing the neighborhood-based mutation strategy and adaptive evolution mechanism that makes full use of the characteristics of individuals, identifies and alleviates the neighborhood evolutionary dilemmas of each individual.About:
This article is published in Information Sciences.The article was published on 2019-04-01. It has received 60 citations till now. The article focuses on the topics: Differential evolution & Mutation (genetic algorithm).read more
Citations
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Journal ArticleDOI
CCSA: Conscious Neighborhood-based Crow Search Algorithm for Solving Global Optimization Problems
TL;DR: CCSA is a successful improvement to tackle the imbalance search strategy and premature convergence problems of the crow search algorithm and finds the best optimal solution for the applied problems of engineering design.
Journal ArticleDOI
Fitness-distance balance (FDB): A new selection method for meta-heuristic search algorithms
TL;DR: A new selection method based on fitness-distance balance (FDB) is developed in order to solve the premature convergence problem in the MHS process and makes a significant contribution to the meta-heuristic search process.
Journal ArticleDOI
Review and Classification of Bio-inspired Algorithms and Their Applications
TL;DR: This paper provides a systematic, pragmatic and comprehensive review of the latest developments in evolutionary based bio-inspired algorithms, swarm intelligence-based bio- inspired algorithms, ecology based bio -inspired algorithms and multi-objective bio-Inspired algorithms.
Journal ArticleDOI
A novel stochastic fractal search algorithm with fitness-Distance balance for global numerical optimization
TL;DR: The results of the analysis showed that the problem of premature convergence had been largely eliminated by the application of the FDB method and that the exploitation-exploration balance was also effectively provided, and the proposed FDBSFS algorithm ranked first among the thirty-nine competing algorithms.
Journal ArticleDOI
A fitness-based adaptive differential evolution algorithm
Xuewen Xia,Ling Gui,Yinglong Zhang,Xing Xu,Fei Yu,Hongrun Wu,Bo Wei,Guoliang He,Yuanxiang Li,Yuanxiang Li,Kangshun Li,Kangshun Li +11 more
TL;DR: The effectiveness and efficiency of the newly introduced adaptive strategies are further confirmed by a set of experiments and the comprehensive performance of FADE is extensively evaluated by comparisons between it and other eight state-of-art DE variants based on CEC2013 and CEC2017 test suites.
References
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Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Book ChapterDOI
Individual Comparisons by Ranking Methods
TL;DR: The comparison of two treatments generally falls into one of the following two categories: (a) a number of replications for each of the two treatments, which are unpaired, or (b) we may have a series of paired comparisons, some of which may be positive and some negative as mentioned in this paper.
Journal ArticleDOI
Differential Evolution: A Survey of the State-of-the-Art
TL;DR: A detailed review of the basic concepts of DE and a survey of its major variants, its application to multiobjective, constrained, large scale, and uncertain optimization problems, and the theoretical studies conducted on DE so far are presented.
Journal ArticleDOI
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
TL;DR: The basics are discussed and a survey of a complete set of nonparametric procedures developed to perform both pairwise and multiple comparisons, for multi-problem analysis are given.
Journal ArticleDOI
Completely Derandomized Self-Adaptation in Evolution Strategies
TL;DR: This paper puts forward two useful methods for self-adaptation of the mutation distribution - the concepts of derandomization and cumulation and reveals local and global search properties of the evolution strategy with and without covariance matrix adaptation.
Related Papers (5)
JADE: Adaptive Differential Evolution With Optional External Archive
Jingqiao Zhang,A.C. Sanderson +1 more
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more