Published in: 14th International Industrial Engineering Conference
COI code: IIEC14_044
Paper Language: English
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Authors A bi-objective vehicle-routing problem for optimization of a bioenergy supply chain by using NSGA- II algorithmMasoud rabbani - School of industrial engineering, College of Engineering, University of Tehran, Tehran, Iran
Niloufar Akbarian Saravi - School of industrial engineering, College of Engineering, University of Tehran, Tehran, Iran
Mahdokht Ansari - School of industrial engineering, College of Engineering, University of Tehran, Tehran, Iran
MirMohammad Musavi - School of industrial engineering, College of Engineering, University of Tehran, Tehran, Iran
Abstract:In this paper, we present a multi period model involving an economic and environmental consideration. A vehiclerouting problem is considered as an essential matter due to importance of decreasing the routing cost especially, in the concerned bioenergy supply chain. A few of the optimization model considered the vehicle routing for designing the bioenergy supply chain network. In this study, a bi-objective mixed-integer linear programming (MILLP) model is presented. The economic objective function minimizes the transportation, capacity expanding, fixed and variable cost as well as minimizes the locating routing cost in this problem. The proposed bi-objective model is solved using a nondominated genetic algorithm (NSGA- II). Utilizing a numerical examples, we have shown that, NSGA-II algorithm overcomes the augmented -constraint method in terms of CPU time. Also, this algorithm is validated through an augmented -constraint method.
Keywords:bi-objective optimization; mixed-integr linear programming; bioenegy supply chain; Non-dominated genetic algorithm (NSGA- II)
COI code: IIEC14_044
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rabbani, Masoud; Niloufar Akbarian Saravi; Mahdokht Ansari & MirMohammad Musavi, 2017, A bi-objective vehicle-routing problem for optimization of a bioenergy supply chain by using NSGA- II algorithm, 14th International Industrial Engineering Conference, تهران, انجمن مهندسي صنايع ايران - دانشگاه علم و صنعت ايران, https://www.civilica.com/Paper-IIEC14-IIEC14_044.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (rabbani, Masoud; Niloufar Akbarian Saravi; Mahdokht Ansari & MirMohammad Musavi, 2017)
Second and more: (rabbani; Akbarian Saravi; Ansari & Musavi, 2017)
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Type: state university
Paper No.: 55403
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