An adaptive hybrid differential evolution algorithm for single objective optimization

DOI10.1016/j.amc.2014.01.041zbMath1410.90255OpenAlexW2025714644MaRDI QIDQ1644577

Md. Asafuddoula, Tapabrata Ray, Ruhul A. Sarker

Publication date: 21 June 2018

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2014.01.041

zbMATH Keywords

local searchdifferential evolutionconstrained single objective optimizationself adaptive

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (6)

A differential evolution algorithm with self-adaptive strategy and control parameters based on symmetric Latin hypercube design for unconstrained optimization problems ⋮ A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems ⋮ Fuzzy multi-period portfolio selection model with discounted transaction costs ⋮ An improved differential evolution algorithm based on dual-strategy ⋮ A modified cloud particles differential evolution algorithm for real-parameter optimization ⋮ A hybrid optimization algorithm based on chaotic differential evolution and estimation of distribution

Uses Software

• CEC 05
• JADE

Cites Work

• Multi-operator based evolutionary algorithms for solving constrained optimization problems
• Adaptive differential evolution algorithm for multiobjective optimization problems
• A local exploration-based differential evolution algorithm for constrained global optimization
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces

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