A Multi-Objective Memetic Algorithm for Vehicle Resource Allocation in Sustainable Transportation Planning
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 2833-2838.
Abstract
Sustainable supply chain management has been an increasingly important topic of research in recent years. At the strategic level, there are computational models which study supply and distribution networks with environmental considerations. At the operational level, there are, for example, routing and scheduling models which are constrained by carbon emissions. Our paper explores work in tactical planning with regards to vehicle resource allocation from distribution centers to customer locations in a multi-echelon logistics network. We formulate the bi-objective optimization problem exactly and design a memetic algorithm to efficiently derive an approximate Pareto front. We illustrate the applicability of our approach with a large real-world dataset.
@inproceedings{ijcai2013p417,
title = {A Multi-Objective Memetic Algorithm for Vehicle Resource Allocation in Sustainable Transportation Planning},
author = {Lau, Hoong Chuin and Agussurja, Lucas and Cheng, Shih-Fen and Tan, Pang-Jin},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {2833--2838},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/417},
}
TY - CPAPER TI - A Multi-Objective Memetic Algorithm for Vehicle Resource Allocation in Sustainable Transportation Planning AU - Lau, Hoong Chuin AU - Agussurja, Lucas AU - Cheng, Shih-Fen AU - Tan, Pang-Jin T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 2833 EP - 2838 UR - https://ijcai.org/proceedings/2013/417 ER -Copied
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