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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 5126808, 14 pages
http://dx.doi.org/10.1155/2016/5126808
Research Article

A Novel Chaotic Particle Swarm Optimization Algorithm for Parking Space Guidance

1School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
2Key Laboratory of Advanced Process Control for Light Industry of the Ministry of Education, School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China

Received 5 March 2016; Revised 21 July 2016; Accepted 26 July 2016

Academic Editor: George S. Dulikravich

Copyright © 2016 Na Dong et al. 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.

Abstract

An evolutionary approach of parking space guidance based upon a novel Chaotic Particle Swarm Optimization (CPSO) algorithm is proposed. In the newly proposed CPSO algorithm, the chaotic dynamics is combined into the position updating rules of Particle Swarm Optimization to improve the diversity of solutions and to avoid being trapped in the local optima. This novel approach, that combines the strengths of Particle Swarm Optimization and chaotic dynamics, is then applied into the route optimization (RO) problem of parking lots, which is an important issue in the management systems of large-scale parking lots. It is used to find out the optimized paths between any source and destination nodes in the route network. Route optimization problems based on real parking lots are introduced for analyzing and the effectiveness and practicability of this novel optimization algorithm for parking space guidance have been verified through the application results.