Solving constrained optimization problems using a novel genetic algorithm

DOI10.1016/j.amc.2008.12.002zbMath1159.65063OpenAlexW1994966431MaRDI QIDQ1004192

Ioannis G. Tsoulos

Publication date: 2 March 2009

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

Full work available at URL: https://doi.org/10.1016/j.amc.2008.12.002

zbMATH Keywords

constrained optimizationgenetic algorithmsevolutionary algorithmsstopping rulesgenetic operationsnuemrical examples

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Stochastic programming (90C15)

Related Items (9)

A hybrid genetic pattern search augmented Lagrangian method for constrained global optimization ⋮ Solving constrained global optimization problems by using hybrid evolutionary computing and artificial life approaches ⋮ A filter-based artificial fish swarm algorithm for constrained global optimization: theoretical and practical issues ⋮ On constrained optimization by interval arithmetic and interval order relations ⋮ A chaos-based evolutionary algorithm for general nonlinear programming problems ⋮ An augmented Lagrangian fish swarm based method for global optimization ⋮ Behavior characterization of visco-hyperelastic models for rubber-like materials using genetic algorithms ⋮ A genetic algorithm for the characterization of hyperelastic materials ⋮ Memory and Learning in Metaheuristics

Uses Software

• DONLP2

Cites Work

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