Engineering optimization by means of an improved constrained differential evolution

DOI10.1016/j.cma.2013.10.019zbMath1295.74084OpenAlexW2019813799MaRDI QIDQ741965

Zhihua Cai, Dingwen Liang, Wenyin Gong

Publication date: 16 September 2014

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2013.10.019

zbMATH Keywords

constrained optimizationdifferential evolutionengineering optimizationdynamic diversity mechanismranking-based mutation

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Optimization problems in solid mechanics (74P99)

Related Items (8)

A modified comprehensive learning particle swarm optimizer and its application in cylindricity error evaluation problem ⋮ Constrained Nonlinear‐Based Optimisation Applied to Fuzzy PID Controllers Tuning ⋮ Harris Hawks optimization with information exchange ⋮ CWOA: a novel complex-valued encoding whale optimization algorithm ⋮ Differential evolution with adaptive trial vector generation strategy and cluster-replacement-based feasibility rule for constrained optimization ⋮ Optimization of Identifying Point Pollution Sources for the Convection-Diffusion-Reaction Equations ⋮ Queuing search algorithm: a novel metaheuristic algorithm for solving engineering optimization problems ⋮ Artificial hummingbird algorithm: a new bio-inspired optimizer with its engineering applications

Uses Software

• CMA-ES
• KEEL

Cites Work

• The Automatic Dynamic Penalisation method (ADP) for handling constraints with genetic algorithms
• Multi-operator based evolutionary algorithms for solving constrained optimization problems
• Differential evolution in constrained numerical optimization: an empirical study
• An effective co-evolutionary differential evolution for constrained optimization
• A local exploration-based differential evolution algorithm for constrained global optimization
• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• An efficient constraint handling method for genetic algorithms
• Cultured differential evolution for constrained optimization
• Accelerating adaptive trade-off model using shrinking space technique for constrained evolutionary optimization

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