A Novel Chaotic Particle Swarm Optimization Algorithm for Parking Space Guidance. (21st September 2016)

• Record Type: Journal Article
• Authors: Dong, Na; Fang, Xing; Wu, Ai-guo
• Other Names: Dulikravich George S. Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2016(2016)
• Publication Date: 2016-09-21
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2016/5126808
• Languages: English
• ISSNs: 1024-123X

Abstract

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.