A Study on Particle Swarm Optimization Algorithm by Diversity-Based Inertia Weight Strategy
碩士 === 中原大學 === 資訊管理研究所 === 95 === Particle swarm optimization algorithm (PSO) is motivated from the simulation of simplified social behavior of bird flocking, fish schooling and human. The PSO is simple and easy to implement on many optimization problems. And it is demonstrated that it is an effici...
Main Authors: | Yun-Chih Liao, 廖雲枝 |
---|---|
Other Authors: | Wei-Ping Lee |
Format: | Others |
Language: | zh-TW |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/34804909081926110020 |
Similar Items
-
The influence of inertia weight on the Particle Swarm Optimization algorithm
by: Dawid Cekus, et al.
Published: (2018-12-01) -
An Improved Particle Swarm Optimization Algorithm Based on Centroid and Exponential Inertia Weight
by: Shouwen Chen, et al.
Published: (2014-01-01) -
A Novel Flexible Inertia Weight Particle Swarm Optimization Algorithm.
by: Mohammad Javad Amoshahy, et al.
Published: (2016-01-01) -
Jumping Particle Swarm Optimization Based on Adaptive Inertia Weight
by: Chen-Shuo Chia, et al.
Published: (2019) -
Chaotic-based Particle Swarm Optimization with Inertia Weight for Optimization Tasks
by: N. Mobaraki, et al.
Published: (2020-07-01)