作者
Konstantinos E Parsopoulos, Michael N Vrahatis
发表日期
2019/4/29
图书
International Conference of Computational Methods in Sciences and Engineering (ICCMSE 2004)
页码范围
868-873
出版商
CRC Press
简介
We introduce Unified Particle Swarm Optimization, a new scheme that harnesses the local and global variants of the standard Particle Swarm Optimization algorithm, combining their exploration and exploitation abilities. Convergence in probability can be proved for the new approach in unimodal cases and preliminary results justify its superiority against the standard Particle Swarm Optimization.
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KE Parsopoulos, MN Vrahatis - International Conference of Computational Methods in …, 2019