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.
Highlights
There are a large number of research works in the area of parking management systems [1,2,3]
We explore a more efficient and accurate way, based on heuristic optimizations, Mathematical Problems in Engineering to solve the route optimization (RO) problem of the parking lot management system
In order to test the performance of the proposed methodology, a route optimization problem based on a real parking lot is introduced for analyzing
Summary
There are a large number of research works in the area of parking management systems [1,2,3]. In order to keep the particles from the stagnation state and improve the PSO algorithm, the chaos optimization mechanism is introduced in this paper and a novel chaotic optimization algorithm is proposed. Due to the unique ergodicity and special ability in avoiding being trapped in local optima, chaos search has been proved to be much more efficient than some other stochastic algorithms [21], and chaotic systems have been exploited in some metaheuristic methods to solve global optimization problems with a large number of local minima. The notion of chaos is introduced into the PSO’s position updating rules and the novel chaotic optimization algorithm is applied to solve the parking space guidance problems. Simulation tests are conducted based on a real parking lot and the effectiveness of the proposed method has been revealed through the simulation results
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