A genetic algorithm based augmented Lagrangian method for constrained optimization

DOI10.1007/s10589-012-9468-9zbMath1264.90159OpenAlexW2021456610MaRDI QIDQ1935579

Soumil Srivastava, Kalyanmoy Deb

Publication date: 18 February 2013

Published in: Computational Optimization and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10589-012-9468-9

zbMATH Keywords

Lagrange multipliersconstrained optimizationadaptive algorithmaugmented Lagrangian methodevolutionary algorithms

Mathematics Subject Classification ID

Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (9)

On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling ⋮ On a smoothed penalty-based algorithm for global optimization ⋮ Advanced particle swarm assisted genetic algorithm for constrained optimization problems ⋮ A filter-based artificial fish swarm algorithm for constrained global optimization: theoretical and practical issues ⋮ Integrated supply chain scheduling of procurement, production, and distribution under spillover effects ⋮ An augmented Lagrangian ant colony based method for constrained optimization ⋮ Firefly penalty-based algorithm for bound constrained mixed-integer nonlinear programming ⋮ GGA: a modified genetic algorithm with gradient-based local search for solving constrained optimization problems ⋮ An artificial fish swarm algorithm based hyperbolic augmented Lagrangian method

Uses Software

• Genocop

Cites Work

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