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The Scientific World Journal
Volume 2013 (2013), Article ID 409167, 8 pages
Research Article

A New Logistic Dynamic Particle Swarm Optimization Algorithm Based on Random Topology

1School of Computer Science and Engineering, Southeast University, Nanjing 211189, China
2Provincial Key Laboratory for Computer Information Processing Technology, Soochow University, Suzhou 215006, China

Received 17 April 2013; Accepted 19 May 2013

Academic Editors: P. Agarwal, S. Balochian, and V. Bhatnagar

Copyright © 2013 Qingjian Ni and Jianming Deng. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Population topology of particle swarm optimization (PSO) will directly affect the dissemination of optimal information during the evolutionary process and will have a significant impact on the performance of PSO. Classic static population topologies are usually used in PSO, such as fully connected topology, ring topology, star topology, and square topology. In this paper, the performance of PSO with the proposed random topologies is analyzed, and the relationship between population topology and the performance of PSO is also explored from the perspective of graph theory characteristics in population topologies. Further, in a relatively new PSO variant which named logistic dynamic particle optimization, an extensive simulation study is presented to discuss the effectiveness of the random topology and the design strategies of population topology. Finally, the experimental data are analyzed and discussed. And about the design and use of population topology on PSO, some useful conclusions are proposed which can provide a basis for further discussion and research.