@inproceedings{8071e57c401d4ac38cb807c6743011c1,
title = "A low-carbon game-based job scheduling considering material transit",
abstract = "This paper proposes a low-carbon game-based job scheduling considering material transit. In the proposed method: (1) The players refer to job scheduling and material transit respectively; The strategy of each player refers to the selectable machines about submitted jobs; The payoffs of job scheduling refer to completed time and carbon emissions; The payoffs of material transit refer to transit cost and transit carbon emissions. (2)To solve the model, this paper introduces the concept of Nash-Pareto and the solving of the presented model is transferred to find the Nash-Pareto Equilibrium points in the solving space. (3) To get the Nash-Pareto Equilibrium points of this game, a NSGA-II algorithm is consequently developed to effectively solve the mathematical model. Finally, case study is designed to demonstrate the feasibility of the approach, and comparison result proves that the proposed method can balance the interests of job scheduling and material transit.",
keywords = "carbon emissions, job scheduling, material transit, multi-objective optimization",
author = "Changle Tian and Guanghui Zhou and Fengtian Chang and Junjie Zhang and Chuang Wang",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018 ; Conference date: 27-03-2018 Through 29-03-2018",
year = "2018",
month = may,
day = "18",
doi = "10.1109/ICNSC.2018.8361320",
language = "英语",
series = "ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control",
}