Standard
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 U-M, 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
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
KW - incoll-53
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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
M3 - Chapter
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 -
