An Improved Harmony Search Algorithms Based on Particle Swarm Optimizer
| Autor: | Ben Niu, Li Li, Hongfei Yu, Guangwei Song |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Set (abstract data type)
Mathematical optimization Computer science Particle swarm optimizer MathematicsofComputing_NUMERICALANALYSIS Benchmark (computing) Harmony search Particle swarm optimization Multi-swarm optimization ComputingMethodologies_ARTIFICIALINTELLIGENCE Algorithm Premature convergence |
| Zdroj: | Intelligent Computing Theories and Technology ISBN: 9783642394812 ICIC (2) |
| DOI: | 10.1007/978-3-642-39482-9_70 |
| Popis: | An improved harmony search algorithms based on particle swarm optimizer (HSPSO) is presented. The new heuristic optimization algorithm hybridizes HS and PSO, and it is based on the principles of those two methods with some differences. Comparisons with improved HS (IHS) , PSO algorithm (PSO), and it variants on a set of benchmark functions indicate that the HSPSO is capable of alleviating the problems of premature convergence. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|