A Bi-objective Model of Many-To-Many Hub Vehicle Location-Routing Problem by Considering Hard Time Window and Vehicle-Cost Balancing

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

Enhancing the efficacy and productivity of transportation system has been on the most common issues in recent decades, noteworthy to the industrial managers and expert so that the products are delivered to the clients at right time and the least costs. Therefore, there are two important issues; one is to create hub as the as intermediaries for streaming from multiple origins to multiple destinations and also responding to the tours of every hub at the proper time. The other is a route where the vehicles should pay at time window of each destination node. On the other hand, these problems may cause cost differences between hub and interruption of their balance. Accordingly, this paper presents a model dealing with cost balancing among the vehicles as well as reducing the total cost of the system. Given the multi-objective and NP-Hard nature of the issue, a multi-objective imperialist competitive algorithm (MOICA) is suggested to provide Pareto solutions. The provided solutions are at small, average and large scales are compared with the solutions provided by Non-Dominated Sorting Genetic Algorithm (NSGA-II) algorithm. Then, its performance is determined using the index for evaluating the algorithm performance efficacy to solve the problem at large dimensions.</span></span></span></span></span></span>

Language:
English
Published:
Iranian Journal Of Operations Research, Volume:14 Issue: 2, Summer and Autumn 2023
Pages:
156 to 167
https://www.magiran.com/p2755355  
سامانه نویسندگان
  • Hamidreza Abedsoltan
    Author (2)
    (1399) کارشناسی ارشد مهندسی صنایع، دانشگاه تهران
    Abedsoltan، Hamidreza
اطلاعات نویسنده(گان) توسط ایشان ثبت و تکمیل شده‌است. برای مشاهده مشخصات و فهرست همه مطالب، صفحه رزومه را ببینید.
مقالات دیگری از این نویسنده (گان)