Perspectives and Experiments of Hybrid Particle Swarm Optimization and Genetic Algorithms to Solve Optimization Problems
Authors:
- 20 December 2017
- book chapter
- Published by Springer Nature
- p. 290-297
Abstract
No abstract availableKeywords
This publication has 11 references indexed in Scilit:
- Hybridization of genetic algorithm and fully informed particle swarm for solving the multi-mode resource-constrained project scheduling problemEngineering Optimization, 2016
- A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with a Genetic Algorithm2014
- Particle swarm optimization2014
- Advanced particle swarm assisted genetic algorithm for constrained optimization problemsComputational Optimization and Applications, 2014
- Development and investigation of efficient GA/PSO-hybrid algorithm applicable to real-world design optimization2009
- A hybrid genetic algorithm and particle swarm optimization for multimodal functionsApplied Soft Computing, 2008
- Hybrid Evolutionary Algorithm Based on PSO and GA Mutation2006
- An improved GA and a novel PSO-GA-based hybrid algorithmInformation Processing Letters, 2005
- Particle swarm, genetic algorithm, and their hybrids: optimization of a profiled corrugated horn antenna2003
- A new optimizer using particle swarm theory2002