A computational study on different penalty approaches for solving constrained global optimization problems with the electromagnetism-like method
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Publication:5413893
DOI10.1080/02331934.2012.655691zbMath1302.90205OpenAlexW1969350067WikidataQ57931891 ScholiaQ57931891MaRDI QIDQ5413893
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Publication date: 2 May 2014
Published in: Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331934.2012.655691
Related Items (3)
Stochastic filter methods for generally constrained global optimization ⋮ On a smoothed penalty-based algorithm for global optimization ⋮ An artificial fish swarm algorithm based hyperbolic augmented Lagrangian method
Cites Work
- An electromagnetism-like method for nonlinearly constrained global optimization
- Some variants of the controlled random search algorithm for global optimization
- Self-adaptive velocity particle swarm optimization for solving constrained 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
- Numerical comparison of some penalty-based constraint handling techniques in genetic algorithms
- On the convergence of a population-based global optimization algorithm
- An electromagnetism-like mechanism for global optimization
- Population set-based global optimization algorithms: some modifications and numerical studies
- A Genetic Algorithm for the Multiple-Choice Integer Program
- Adaptive Penalty Methods for Genetic Optimization of Constrained Combinatorial Problems
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