Application of Ant Colony Optimization Algorithm in Designing Public Transport Feeder Networks مقاله

Otomatik Özet:

Application of Ant Colony Optimization in Designing Multimodal Transportation Feeder Networks Mohammad Mehdi Tahoorinia 1, Afshin Shariat Mohaymeni 2 From page 57 to 76 Received date: 2012/04/28 Acceptance date: 2012/06/03 Abstract The complex structure of multimodal transportation network design problems has caused mathematical and numerical methods to often not be considered appropriate solutions for them. In this article, the details and innovations created in the Ant Colony Optimization algorithm for designing multi-route multimodal transportation feeder networks are introduced, and its application and optimization process are investigated from various angles. According to the results obtained, the input parameters to the algorithm play an effective role in reaching the optimal solution, such that by selecting their appropriate range, the program execution time can be reduced and the required accuracy can be increased. In this article, the application of the Ant Colony Optimization algorithm in designing multimodal transportation feeder networks and how to improve its process in solving complex transportation problems is investigated. Terminal Identification: To solve the multi-modal feeder network design problem using the Ant Colony Optimization algorithm, it is first necessary to determine the starting stations of each route. Given that the multi-modal feeder network with the approach of simultaneous demand coverage by routes is introduced for the first time in this study, therefore, the goal is to provide the necessary principles and details to harmonize the problem-solving method with the structure of the Ant Colony Optimization algorithm.