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

被引：168
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
收藏
页码：6020 / 6028
页数：9
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