Artificial bee colony algorithm for large-scale problems and engineering design optimization
- 31 March 2010
- journal article
- research article
- Published by Springer Science and Business Media LLC in Journal of Intelligent Manufacturing
- Vol. 23 (4), 1001-1014
- https://doi.org/10.1007/s10845-010-0393-4
Abstract
No abstract availableKeywords
This publication has 24 references indexed in Scilit:
- A comparative study of Artificial Bee Colony algorithmApplied Mathematics and Computation, 2009
- Constraint satisfaction techniques in planning and schedulingJournal of Intelligent Manufacturing, 2008
- Artificial Bee Colony (ABC) Algorithm on Training Artificial Neural NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population FeaturesJournal of Artificial Intelligence Research, 2005
- An improved particle swarm optimizer for mechanical design optimization problemsEngineering Optimization, 2004
- On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA'sPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the artComputer Methods in Applied Mechanics and Engineering, 2002
- An Experimental Study of Benchmarking Functions for Genetic AlgorithmsInternational Journal of Computer Mathematics, 2002
- An efficient constraint handling method for genetic algorithmsComputer Methods in Applied Mechanics and Engineering, 2000
- Constrained Optimization Via Genetic AlgorithmsSIMULATION, 1994