@inproceedings{d3cb5c9e975142adafe17e3e26bdef62,
title = "Multi-agent integer programming",
abstract = "Many real-life optimization problems such as planning and scheduling require finding the best allocation of scarce resources among competing activities. These problems may be modeled and solved by means of mathematical programming. This paper explores a distributed multi-agent approach to mathematical programming, and demonstrates the approach in the case of integer programming. The important characteristics of the multi-agent approach consist in that the behavior-based computation performed by the agents is parallel and goal-driven in nature, and has low time complexity.",
keywords = "Behavior-based computation, Integer programming, Multi-agents",
author = "Jiming LIU and Jian Yin",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000 ; Conference date: 13-12-2000 Through 15-12-2000",
year = "2000",
doi = "10.1007/3-540-44491-2_43",
language = "English",
isbn = "3540414509",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "301--306",
editor = "Leung, {Kwong Sak} and Lai-Wan Chan and Helen Meng",
booktitle = "Intelligent Data Engineering and Automated Learning - IDEAL 2000",
address = "Germany",
}