Agent-based synthesis of electromechanical design configurations

被引：79

作者：

Campbell, MI ^{[1
]}

Cagan, J ^{[1
]}

Kotovsky, K ^{[1
]}

机构：

[1] Carnegie Mellon Univ, Dept Mech Engn, Pittsburgh, PA 15213 USA

来源：

JOURNAL OF MECHANICAL DESIGN | 2000年 / 122卷 / 01期

关键词：

D O I：

10.1115/1.533546

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

A new automated approach to engineering design known as A-design is presented that creates design configurations through the interaction of software agents. By combining unique problem solving strategies, these agents are able to generate solutions to open-ended design problems. The A-design methodology makes several theoretical claims through its combination of multiagent systems, multiobjective design selection, and stochastic optimization, and is currently implemented to solve general electromechanical design problems. While this paper presents an overview of the theoretical basis for A-design, it primarily focuses on the method for representing electromechanical design configurations and the reasoning of the agents that construct these configurations. Results from an electromechanical test problem show the generality of the functional representation. [S1050-0472(00)00701-7].

引用

页码：61 / 69

页数：9

共 26 条

[1]

[Anonymous], [No title captured]

[2] A COMPARISON OF 3 METHODS FOR GENERATING THE PARETO OPTIMAL SET [J].

BALACHANDRAN, M ;

GERO, JS .

ENGINEERING OPTIMIZATION, 1984, 7 (04) :319-336

[3] Functional descriptions used in computer support for qualitative scheme generation - ''Schemebuilder'' [J].

Bracewell, RH ;

Sharpe, JEE .

AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 1996, 10 (04) :333-345

[4] A-design: An agent-based approach to conceptual design in a dynamic environment [J].

Campbell, MI ;

Cagan, J ;

Kotovsky, K .

RESEARCH IN ENGINEERING DESIGN, 1999, 11 (03) :172-192

[5] An approach to functional synthesis of mechanical design concepts: Theory, applications, and emerging research issues [J].

Chakrabarti, A ;

Bligh, TP .

AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING, 1996, 10 (04) :313-331

[6] An Overview of Evolutionary Algorithms in Multiobjective Optimization [J].

Fonseca, Carlos M. ;

Fleming, Peter J. .

EVOLUTIONARY COMPUTATION, 1995, 3 (01) :1-16

[7]

Glover F., 1989, ORSA Journal on Computing, V1, P190, DOI [10.1287/ijoc.2.1.4, 10.1287/ijoc.1.3.190]

[8]

Goldberg D. E., 1989, GENETIC ALGORITHMS S

[9]

Grecu DL, 1996, ARTIFICIAL INTELLIGENCE IN DESIGN '96, P409

[10]

Holland J., 1992, ADAPTATION NATURAL A

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