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Automatic design synthesis and optimization of component-based systems by evolutionary algorithms

conference contribution
posted on 01.08.2012, 12:51 by Plamen Angelov, Yi Zhang, Jonathan WrightJonathan Wright, Victor I. Hanby, Richard BuswellRichard Buswell
A novel approach for automatic design synthesis and optimization using evolutionary algorithms (EA) is introduced in the paper. The approach applies to component-based systems in general and is demonstrated with a heating, ventilating and air-conditioning (HVAC) systems problem. The whole process of the system design, including the initial stages that usually entail significant human involvement, is treated as a constraint satisfaction problem. The formulation of the optimization process realizes the complex nature of the design problem using different types of variables (real and integer) that represent both the physical and the topological properties of the system; the objective is to design a feasible and efficient system. New evolutionary operators tailored to the component-based, spatially distributed system design problem have been developed. The process of design has been fully automated. Interactive supervision of the optimization process by a human-designer is possible using a specialized GUI. An example of automatic design of HVAC system for two-zone buildings is presented.

History

School

  • Architecture, Building and Civil Engineering

Citation

ANGELOV, P. ... et al., 2003. Automatic design synthesis and optimization of component-based systems by evolutionary algorithms. IN: Cantú-Paz, E. ... et al. (eds.) Genetic and Evolutionary Computation (GECCO) 2003, Lecture Notes in Computer Science, 2724, pp. 1938–1950

Publisher

© Springer Verlag

Version

VoR (Version of Record)

Publication date

2003

Notes

This is a paper from Genetic and Evolutionary Computation — GECCO 2003 [© Springer Verlag). The definitive version is available from: http://www.springerlink.com/content/jnx0qxywfx3b2q9q/

ISSN

0302-9743

Language

en

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