Agent-Based Natural Domain Modeling for Cooperative Continuous Optimization

被引：0

作者：

Jorquera, Tom ^{[1
]}

George, Jean-Pierre ^{[1
]}

Gleizes, Marie-Pierre ^{[1
]}

Regis, Christine ^{[1
]}

机构：

[1] Univ Toulouse 3, Inst Rech Informat Toulouse, F-31062 Toulouse, France

来源：

COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS | 2013年 / 8083卷

关键词：

Multi-Agent System; Continuous Optimization; Problem Modeling;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

While multi-agent systems have been successfully applied to combinatorial optimization, very few works concern their applicability to continuous optimization problems. In this article we propose a framework for modeling a continuous optimization problems as multi-agent system, which we call NDMO, by representing the problem as an agent graph, and complemented with optimization solving behaviors. Some of the results we obtained with our implementation on several continuous optimization problems are presented.

引用

页码：437 / 446

页数：10

共 11 条

[1] Analytical and computational aspects of collaborative optimization for multidisciplinary design [J].

Alexandrov, NM ;

Lewis, RM .

AIAA JOURNAL, 2002, 40 (02) :301-309

[2]

[Anonymous], AIAA ISSMO MULT AN O

[3]

[Anonymous], 2009, P 8 INT C AUT AG MUL

[4]

Cramer E. J., 1994, SIAM J OPTIMIZ, V4, P754, DOI DOI 10.1137/0804044

[5]

Jorquera T., 2013, AAMAS 2013 IN PRESS

[6]

Kroo I.M., 1994, AIAA 5 S MULT AN OPT

[7]

Modi P.J., 2003, AAMAS 03 P 2 INT JOI, P161

[8]

Sobieszczanski-Sobieski J, 1996, 34 AER SCI M EXH, V14, P1, DOI 102514/61996-711

[9]

Sobieszczanski-Sobieski J., 1998, Bi-level integrated system synthesis (BLISS)

[10]

Viennet R, 1996, INT J SYST SCI, V27, P255, DOI 10.1080/00207729608929211

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