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

Angelov, P. P. and Zhang, Y. and Wright, J. A. and Hanby, V. I. and Buswell, R. A. (2003) Automatic design synthesis and optimization of component-based systems by evolutionary algorithms. In: Genetic and Evolutionary Computation. Lecture Notes in Computer Science, 2 (2724). Springer, Berlin/Heidelberg, pp. 1938-1950. ISBN 978-3-540-40603-7

Full text not available from this repository.


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. (c) Springer

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
ID Code:
Deposited By:
Deposited On:
24 Jan 2008 09:17
Last Modified:
19 Sep 2023 03:15