Applications of agent-based models for optimization problems: A literature review

被引：163

作者：

Barbati, M. ^{[2
]}

Bruno, G. ^{[2
]}

Genovese, A. ^{[1
]}

机构：

[1] Univ Sheffield, Sch Management, Sheffield, S Yorkshire, England

[2] Univ Naples Federico II, Dept Engn Management, Naples, Italy

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 05期

关键词：

Agent-based modeling; Heuristics; Optimization problems; DECISION-MAKING; SUPPLY CHAINS; SYSTEM; NEGOTIATION; ARCHITECTURE; INTELLIGENCE; BENCHMARKING; PROTOCOL;

D O I：

10.1016/j.eswa.2011.12.015

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Agent based models (ABM) have been recently applied to solve optimization problems whose domains present several inter-related components in a distributed and heterogeneous environment. In this work we illustrate the state of the art related to the use and to the application of ABM as optimization technique, given their peculiarity in dealing with the representation and the simulation of complex systems. After a description of the approach and a comparison with classical heuristics, an extensive review aimed at evaluating the impact of these methodologies in the Operational Research/Management Science literature is provided. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：6020 / 6028

页数：9

共 90 条

[1] An agent-based dynamic information network for supply chain management
Ahn, HJ
Lee, H
[J]. BT TECHNOLOGY JOURNAL, 2004, 22 (02) : 18 - 27
[2] Agent-based model for optimising supply-chain configurations
Akanle, O. M.
Zhang, D. Z.
[J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2008, 115 (02) : 444 - 460
[3] [Anonymous], 2002, An Introduction to MultiAgent Systems
[4] [Anonymous], 2005, SEARCH METHODOLOGIES: Introductory Tutorials in Optimization and Decision Support Techniques, DOI DOI 10.1007/0-387-28356-0_6
[5] [Anonymous], 1997, COMPLEXITY COOPERATI
[6] Reactive scheduling using a multi-agent model: the SCEP framework
Archimede, B
Coudert, T
[J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2001, 14 (05) : 667 - 683
[7] Arentz T., 2007, DISP, V170, P33, DOI DOI 10.1080/02513625.2007.10556987
[8] Dynamic job-shop scheduling using reinforcement learning agents
Aydin, ME
Öztemel, E
[J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2000, 33 (2-3) : 169 - 178
[9] Multi-agent based traffic simulation and integrated control of freeway corridors: Part 1 simulation and control model
Bae, Chul-Ho
Cho, Ki-Yong
Koo, Tae-Yun
Ji, Sung-Ho
Suh, Myung-won
[J]. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2009, 23 (05) : 1365 - 1373
[10] Barbucha D., 2007, INT J APPL MATH COMP, V4, P538

← 1 2 3 4 5 6 7 8 9 →