@inproceedings{66987eb3c5254c668b5e7b2d4777a32c,
title = "Heuristic-Search Approaches for the Multi-Objective Shortest-Path Problem: Progress and Research Opportunities",
abstract = "In the multi-objective shortest-path problem we are interested in computing a path, or a set of paths that simultaneously balance multiple cost functions. This problem is important for a diverse range of applications such as transporting hazardous materials considering travel distance and risk. This family of problems is not new with results dating back to the 1970's. Nevertheless, the significant progress made in the field of heuristic search resulted in a new and growing interest in the sub-field of multi-objective search. Consequently, in this paper we review the fundamental problems and techniques common to most algorithms and provide a general overview of the field. We then continue to describe recent work with an emphasis on new challenges that emerged and the resulting research opportunities.",
author = "Oren Salzman and Ariel Felner and Carlos Hernandez and Han Zhang and Chan, \{Shao Hung\} and Sven Koenig",
note = "Publisher Copyright: {\textcopyright} 2023 International Joint Conferences on Artificial Intelligence. All rights reserved.; 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 ; Conference date: 19-08-2023 Through 25-08-2023",
year = "2023",
month = jan,
day = "1",
doi = "10.24963/ijcai.2023/757",
language = "الإنجليزيّة",
series = "IJCAI International Joint Conference on Artificial Intelligence",
pages = "6759--6768",
editor = "Edith Elkind",
booktitle = "Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023",
}