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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Published

Standard

Automatic design synthesis and optimization of component-based systems by evolutionary algorithms. / Angelov, P. P.; Zhang, Y.; Wright, J. A. et al.
Genetic and Evolutionary Computation. ed. / E Cantu-Paz; J A Foster; K Deb; L D Davis; R Roy; U-M O'Reilly; H G Beyer; R Standish; G Kendall; S Willson; M Harman; D Dasgupta; M A Potter; A C Schultz; N Jonoska; J Miller. Vol. 2 2724. ed. Berlin/Heidelberg: Springer, 2003. p. 1938-1950 (Lecture Notes in Computer Science).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Angelov, PP, Zhang, Y, Wright, JA, Hanby, VI & Buswell, RA 2003, Automatic design synthesis and optimization of component-based systems by evolutionary algorithms. in E Cantu-Paz, JA Foster, K Deb, LD Davis, R Roy, U-M O'Reilly, HG Beyer, R Standish, G Kendall, S Willson, M Harman, D Dasgupta, MA Potter, AC Schultz, N Jonoska & J Miller (eds), Genetic and Evolutionary Computation. 2724 edn, vol. 2, Lecture Notes in Computer Science, Springer, Berlin/Heidelberg, pp. 1938-1950. https://doi.org/10.1007/3-540-45110-2_93

APA

Angelov, P. P., Zhang, Y., Wright, J. A., Hanby, V. I., & Buswell, R. A. (2003). Automatic design synthesis and optimization of component-based systems by evolutionary algorithms. In E. Cantu-Paz, J. A. Foster, K. Deb, L. D. Davis, R. Roy, U.-M. O'Reilly, H. G. Beyer, R. Standish, G. Kendall, S. Willson, M. Harman, D. Dasgupta, M. A. Potter, A. C. Schultz, N. Jonoska, & J. Miller (Eds.), Genetic and Evolutionary Computation (2724 ed., Vol. 2, pp. 1938-1950). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/3-540-45110-2_93

Vancouver

Angelov PP, Zhang Y, Wright JA, Hanby VI, Buswell RA. Automatic design synthesis and optimization of component-based systems by evolutionary algorithms. In Cantu-Paz E, Foster JA, Deb K, Davis LD, Roy R, O'Reilly UM, Beyer HG, Standish R, Kendall G, Willson S, Harman M, Dasgupta D, Potter MA, Schultz AC, Jonoska N, Miller J, editors, Genetic and Evolutionary Computation. 2724 ed. Vol. 2. Berlin/Heidelberg: Springer. 2003. p. 1938-1950. (Lecture Notes in Computer Science). doi: 10.1007/3-540-45110-2_93

Author

Angelov, P. P. ; Zhang, Y. ; Wright, J. A. et al. / Automatic design synthesis and optimization of component-based systems by evolutionary algorithms. Genetic and Evolutionary Computation. editor / E Cantu-Paz ; J A Foster ; K Deb ; L D Davis ; R Roy ; U-M O'Reilly ; H G Beyer ; R Standish ; G Kendall ; S Willson ; M Harman ; D Dasgupta ; M A Potter ; A C Schultz ; N Jonoska ; J Miller. Vol. 2 2724. ed. Berlin/Heidelberg : Springer, 2003. pp. 1938-1950 (Lecture Notes in Computer Science).

Bibtex

@inbook{07ca8faa27c9422591bbcfae62d2c611,
title = "Automatic design synthesis and optimization of component-based systems by evolutionary algorithms",
abstract = "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",
keywords = "DCS-publications-id, incoll-53, DCS-publications-credits, dsp-fa, DCS-publications-personnel-id, 82",
author = "Angelov, {P. P.} and Y. Zhang and Wright, {J. A.} and Hanby, {V. I.} and Buswell, {R. A.}",
year = "2003",
month = jul,
doi = "10.1007/3-540-45110-2_93",
language = "English",
isbn = "978-3-540-40603-7",
volume = "2",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "1938--1950",
editor = "E Cantu-Paz and Foster, {J A} and K Deb and Davis, {L D} and R Roy and U-M O'Reilly and Beyer, {H G} and R Standish and G Kendall and S Willson and M Harman and D Dasgupta and Potter, {M A} and Schultz, {A C} and N Jonoska and J Miller",
booktitle = "Genetic and Evolutionary Computation",
edition = "2724",

}

RIS

TY - CHAP

T1 - Automatic design synthesis and optimization of component-based systems by evolutionary algorithms

AU - Angelov, P. P.

AU - Zhang, Y.

AU - Wright, J. A.

AU - Hanby, V. I.

AU - Buswell, R. A.

PY - 2003/7

Y1 - 2003/7

N2 - 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

AB - 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

KW - DCS-publications-id

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KW - DCS-publications-personnel-id

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U2 - 10.1007/3-540-45110-2_93

DO - 10.1007/3-540-45110-2_93

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SN - 978-3-540-40603-7

VL - 2

T3 - Lecture Notes in Computer Science

SP - 1938

EP - 1950

BT - Genetic and Evolutionary Computation

A2 - Cantu-Paz, E

A2 - Foster, J A

A2 - Deb, K

A2 - Davis, L D

A2 - Roy, R

A2 - O'Reilly, U-M

A2 - Beyer, H G

A2 - Standish, R

A2 - Kendall, G

A2 - Willson, S

A2 - Harman, M

A2 - Dasgupta, D

A2 - Potter, M A

A2 - Schultz, A C

A2 - Jonoska, N

A2 - Miller, J

PB - Springer

CY - Berlin/Heidelberg

ER -