Monitoring of particle swarm optimization

Frontiers of Computer Science in China - Tập 3 - Trang 31-37 - 2009
Yuhui Shi1, Russ Eberhart2
1Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China
2Department of Electrical and Computer Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, USA

Tóm tắt

In this paper, several diversity measurements will be discussed and defined. As in other evolutionary algorithms, first the population position diversity will be discussed followed by the discussion and definition of population velocity diversity which is different from that in other evolutionary algorithms since only PSO has the velocity parameter. Furthermore, a diversity measurement called cognitive diversity is discussed and defined, which can reveal clustering information about where the current population of particles intends to move towards. The diversity of the current population of particles and the cognitive diversity together tell what the convergence/divergence stage the current population of particles is at and which stage it moves towards.

Tài liệu tham khảo

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