Adaptive differential evolution algorithm with novel mutation strategies in multiple sub-populations

DOI10.1016/j.cor.2015.09.006zbMath1349.90852OpenAlexW1834439319WikidataQ115460917 ScholiaQ115460917MaRDI QIDQ342272

Genghui Li, Qiuzhen Lin, Jianyong Chen, Laizhong Cui, Nan Lu

Publication date: 17 November 2016

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2015.09.006

zbMATH Keywords

global optimizationdifferential evolutionadaptive parameter controlmultiple sub-populationsreplacement strategy

Mathematics Subject Classification ID

Derivative-free methods and methods using generalized derivatives (90C56) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (9)

A hybrid iterated local search algorithm with adaptive perturbation mechanism by success-history based parameter adaptation for differential evolution (SHADE) ⋮ Insights into the effects of control parameters and mutation strategy on self-adaptive ensemble-based differential evolution ⋮ A novel wrapper-based feature subset selection method using modified binary differential evolution algorithm ⋮ (Global) optimization: historical notes and recent developments ⋮ An improved differential evolution algorithm based on dual-strategy ⋮ A modified cloud particles differential evolution algorithm for real-parameter optimization ⋮ Parameter combination framework for the differential evolution algorithm ⋮ A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization ⋮ A ranking-based adaptive artificial bee colony algorithm for global numerical optimization

Uses Software

• CEC 05
• CEC 13
• JADE

Cites Work

• A novel micro-population immune multiobjective optimization algorithm
• Optimized task scheduling and resource allocation on cloud computing environment using improved differential evolution algorithm
• A memetic algorithm for the minimum sum coloring problem
• DE-VNS: self-adaptive differential evolution with crossover neighborhood search for continuous global optimization
• Multi-operator based evolutionary algorithms for solving constrained optimization problems
• A novel modified differential evolution algorithm for constrained optimization problems
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• A trigonometric mutation operation to differential evolution
• A new particle swarm optimization for the open shop scheduling problem
• A fuzzy adaptive differential evolution algorithm
• Differential evolution algorithms using hybrid mutation

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