Using Artificial Intelligence Approaches for the Location of Charging Stations of Electric Scooters

• Main Authors: Siang-Yi Lin, 林鄉邑
• Other Authors: 謝益智
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/3ym3ux

碩士 === 國立虎尾科技大學 === 工業工程與管理研究所 === 101 === The global economy grows, and the household incomes increase rapidly in recent years. To make lives more convenient, the demand of vehicles, such as automobiles and motorcycles, increases accordingly, which results in the serious pollution of carbon dioxide. As global warming worsening, cutting down the production of carbon dioxide has become a global-emphasized issue. This paper investigates the location problem of charging stations for electric scooters by multi-phase funds. Its main purpose is to minimize the distance of people and the charging stations by applying multi-phase limited funds in a specific area such that people can be more convenient to reach a charging station nearby. Two kinds of artificial intelligence algorithm, including immune algorithm(IA) and genetic algorithm(GA), are applied for finding out possible locations to set charging stations in this research; then, determine whether or not to settle them by multi-phase funds. An example of Tanzih area in Taichung is experimented. With limited funds and phases of the stations’ establishment, we try to find the best location for the charging stations by minimizing the largest distance among people in the nodes of the area and dividing the scopes of services of every charging station. Numerical results show that the applied IA can solve the location problem of charging stations of electric scooters more effectively than GA.