Modified differential evolution with locality induced genetic operators for dynamic optimization

DOI10.1016/j.ejor.2016.02.042zbMath1346.90826OpenAlexW2463549019MaRDI QIDQ323175

Rohan Mukherjee, Shantanab Debchoudhury, Swagatam Das

Publication date: 7 October 2016

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2016.02.042

zbMATH Keywords

dynamic optimizationgenetic operatorsdifferential evolutioncontinuous optimizationself adaptation

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Related Items

Auto-selection mechanism of differential evolution algorithm variants and its application ⋮ A self-adaptive multi-population differential evolution algorithm

Uses Software

• JADE

Cites Work

• Unnamed Item
• Using competitive population evaluation in a differential evolution algorithm for dynamic environments
• Differential evolution. A practical approach to global optimization. With CD-ROM.
• Matrix multiplication via arithmetic progressions
• Evolutionary swarm cooperative optimization in dynamic environments
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Recent advances in robust optimization: an overview
• A dynamic clustering based differential evolution algorithm for global optimization
• On a feasible-infeasible two-population (FI-2Pop) genetic algorithm for constrained optimization: Distance tracing and no free lunch
• Differential evolution and differential ant-stigmergy on dynamic optimisation problems
• Applied Linear Algebra and Matrix Analysis
• Perturbations of Shifts of Finite Type