Customized Fitness Function of Evolutionary Algorithm for Optimization of Car Park Space
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Parking space is an area designated for parking. Presently, parking spaces are claimed to have a very high value due to its high demand. Thus, there is a need to ensure that the parking spaces are constructed with maximum capacity to avoid a waste area. Due to that, the empty space should be managed efficiently prior the parking facilities construction process. This study proposed a customized fitness function of Evolutionary Algorithm (EA) for optimization of car park space. There are two major factors that have been considered in customizing the fitness function which are the number of parking spaces and the feasibility of the surrounding areas. The parking design is divided into three different types which are parallel, diagonal, and perpendicular. Whereas, the feasibility of the surrounding areas considers the size of the area, traffic flow, expansion capability and another few factors as well. The implementation of the customized fitness function into EA technique which is Genetic Algorithm (GA) was found to produce potential solutions to the current difficulties in optimizing car park space. It is believable that the proposed study could be useful in accommodating higher numbers of parking spaces in the future.
Authors and Affiliations
Shafaf Ibrahim, Ahmad Syahir Ab. Aziz
Keywords
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