An augmented Lagrangian fish swarm based method for global optimization
- 1 June 2011
- journal article
- Published by Elsevier in Journal of Computational and Applied Mathematics
- Vol. 235 (16) , 4611-4620
Abstract
No abstract availableKeywords
This publication has 31 references indexed in Scilit:
- A novel adaptive differential evolution algorithm with application to estimate kinetic parameters of oxidation in supercritical waterEngineering Optimization, 2009
- Solving nonlinearly constrained global optimization problem via an auxiliary function methodJournal of Computational and Applied Mathematics, 2009
- Solving constrained optimization problems with hybrid particle swarm optimizationEngineering Optimization, 2008
- Convergence properties of augmented Lagrangian methods for constrained global optimizationOptimization Methods and Software, 2008
- An Adaptive Penalty Method for Genetic Algorithms in Constrained Optimization Problems2008
- Stochastic convergence analysis and parameter selection of the standard particle swarm optimization algorithmInformation Processing Letters, 2007
- A hybrid optimization method of evolutionary and gradient searchEngineering Optimization, 2007
- Numerical Comparison of Augmented Lagrangian Algorithms for Nonconvex ProblemsComputational Optimization and Applications, 2005
- Heuristic pattern search and its hybridization with simulated annealing for nonlinear global optimizationOptimization Methods and Software, 2004
- Benchmarking optimization software with performance profilesMathematical Programming, 2002