Please use this identifier to cite or link to this item: https://doi.org/10.1145/1066677.1066699
Title: A multi-agent approach for solving optimization problems involving expensive resources
Authors: Lau, H.C. 
Wang, H.
Keywords: Expensive resources
Multi-agent system
Optimization problems
Issue Date: 2005
Source: Lau, H.C.,Wang, H. (2005). A multi-agent approach for solving optimization problems involving expensive resources. Proceedings of the ACM Symposium on Applied Computing 1 : 79-83. ScholarBank@NUS Repository. https://doi.org/10.1145/1066677.1066699
Abstract: In this paper, we propose a multi-agent approach for solving a class of optimization problems involving expensive resources, where monolithic local search schemes perform miserably. More specifically, we study the class of bin-packing problems. Under our proposed Fine-Grained Agent System scheme, rational agents work both collaboratively and selfishly based on local search and mimic physics-motivated systems. We apply our approach to a generalization of bin-packing - the Inventory Routing Problem with Time Windows - which is an important logistics problem, and demonstrate the efficiency and effectiveness of our approach. Copyright 2005 ACM.
Source Title: Proceedings of the ACM Symposium on Applied Computing
URI: http://scholarbank.nus.edu.sg/handle/10635/41562
DOI: 10.1145/1066677.1066699
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Jan 17, 2018

Page view(s)

58
checked on Jan 14, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.