A New Hybrid NM Method and Particle Swarm Algorithm for Multimodal Function Optimization

2005 ◽  
pp. 497-508 ◽  
Author(s):  
Fang Wang ◽  
Yuhui Qiu ◽  
Yun Bai
Keyword(s):  
Particle Swarm ◽  
Function Optimization ◽  
Particle Swarm Algorithm ◽  
Multimodal Function Optimization ◽  
Multimodal Function ◽  
Swarm Algorithm

An Improved Particle Swarm Optimization Based on Biological Chemotaxis

2014 ◽  
Vol 1015 ◽  
pp. 737-740
Author(s):  
Hui Xia
Keyword(s):  
Particle Swarm Optimization ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Particle Swarm ◽  
Function Optimization ◽  
Particle Swarm Algorithm ◽  
Swarm Optimization ◽  
Multimodal Function ◽  
Swarm Algorithm ◽  
Improved Algorithm

Standard particle swarm algorithm for function optimization prone to local optimal and premature convergence, and thus the biological chemotaxis principle introduction to particle swarm optimization algorithm, this paper proposed an improved algorithm to maintain the diversity of the populationand the choice of key parameters. Simulation results show that, compared with the traditional particle swarm optimization algorithm, an improved particle swarm algorithm for dealing with complex multimodal function optimization problem can be significantly improved algorithm for global optimization.

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