Mixed continuous variable and catalog search using genetic algorithms

Nicola Senin; David R. Wallace; Mark J. Jakiela

doi:10.1115/96-DETC/DAC-1489

Mixed continuous variable and catalog search using genetic algorithms

Nicola Senin
, David R. Wallace
, Mark J. Jakiela

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

In this paper a general design and catalog representation is proposed and implemented. The representation is applied to mixed continuous variable and catalog search using genetic algorithms. The representation addresses a number of common catalog search design scenarios. In addition to catalogs of static data (e.g., different sizes of pipes), it is possible to model/search subdesigns that can provide performance data based upon operating conditions. The use of catalog hierarchies allows the search to simultaneously consider catalogs from different vendors and at different levels of detail, therefore achieving the capability of modeling solutions containing general information. The capabilities of the representation are demonstrated through an object-oriented computer implementation that uses a genetic optimization and search algorithm.

Original language	English
Title of host publication	22nd Design Automation Conference
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791897591
DOIs	https://doi.org/10.1115/96-DETC/DAC-1489
State	Published - 1996
Event	ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference, DETC-CIE 1996 - Irvine, United States Duration: Aug 18 1996 → Aug 22 1996

Publication series

Name	Proceedings of the ASME Design Engineering Technical Conference
Volume	3

Conference

Conference	ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference, DETC-CIE 1996
Country/Territory	United States
City	Irvine
Period	08/18/96 → 08/22/96

Access to Document

10.1115/96-DETC/DAC-1489

Cite this

@inproceedings{b4b816b277f44b018a1bdaa917df0d67,

title = "Mixed continuous variable and catalog search using genetic algorithms",

abstract = "In this paper a general design and catalog representation is proposed and implemented. The representation is applied to mixed continuous variable and catalog search using genetic algorithms. The representation addresses a number of common catalog search design scenarios. In addition to catalogs of static data (e.g., different sizes of pipes), it is possible to model/search subdesigns that can provide performance data based upon operating conditions. The use of catalog hierarchies allows the search to simultaneously consider catalogs from different vendors and at different levels of detail, therefore achieving the capability of modeling solutions containing general information. The capabilities of the representation are demonstrated through an object-oriented computer implementation that uses a genetic optimization and search algorithm.",

author = "Nicola Senin and Wallace, \{David R.\} and Jakiela, \{Mark J.\}",

note = "Publisher Copyright: {\textcopyright} 1996 American Society of Mechanical Engineers (ASME). All rights reserved.; ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference, DETC-CIE 1996 ; Conference date: 18-08-1996 Through 22-08-1996",

year = "1996",

doi = "10.1115/96-DETC/DAC-1489",

language = "English",

series = "Proceedings of the ASME Design Engineering Technical Conference",

publisher = "American Society of Mechanical Engineers (ASME)",

booktitle = "22nd Design Automation Conference",

}

Senin, N, Wallace, DR & Jakiela, MJ 1996, Mixed continuous variable and catalog search using genetic algorithms. in 22nd Design Automation Conference. Proceedings of the ASME Design Engineering Technical Conference, vol. 3, American Society of Mechanical Engineers (ASME), ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference, DETC-CIE 1996, Irvine, United States, 08/18/96. https://doi.org/10.1115/96-DETC/DAC-1489

Mixed continuous variable and catalog search using genetic algorithms. / Senin, Nicola; Wallace, David R.; Jakiela, Mark J.
22nd Design Automation Conference. American Society of Mechanical Engineers (ASME), 1996. (Proceedings of the ASME Design Engineering Technical Conference; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Mixed continuous variable and catalog search using genetic algorithms

AU - Senin, Nicola

AU - Wallace, David R.

AU - Jakiela, Mark J.

PY - 1996

Y1 - 1996

N2 - In this paper a general design and catalog representation is proposed and implemented. The representation is applied to mixed continuous variable and catalog search using genetic algorithms. The representation addresses a number of common catalog search design scenarios. In addition to catalogs of static data (e.g., different sizes of pipes), it is possible to model/search subdesigns that can provide performance data based upon operating conditions. The use of catalog hierarchies allows the search to simultaneously consider catalogs from different vendors and at different levels of detail, therefore achieving the capability of modeling solutions containing general information. The capabilities of the representation are demonstrated through an object-oriented computer implementation that uses a genetic optimization and search algorithm.

AB - In this paper a general design and catalog representation is proposed and implemented. The representation is applied to mixed continuous variable and catalog search using genetic algorithms. The representation addresses a number of common catalog search design scenarios. In addition to catalogs of static data (e.g., different sizes of pipes), it is possible to model/search subdesigns that can provide performance data based upon operating conditions. The use of catalog hierarchies allows the search to simultaneously consider catalogs from different vendors and at different levels of detail, therefore achieving the capability of modeling solutions containing general information. The capabilities of the representation are demonstrated through an object-oriented computer implementation that uses a genetic optimization and search algorithm.

UR - https://www.scopus.com/pages/publications/0040309549

U2 - 10.1115/96-DETC/DAC-1489

DO - 10.1115/96-DETC/DAC-1489

M3 - Conference contribution

AN - SCOPUS:0040309549

T3 - Proceedings of the ASME Design Engineering Technical Conference

BT - 22nd Design Automation Conference

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference, DETC-CIE 1996

Y2 - 18 August 1996 through 22 August 1996

ER -

Mixed continuous variable and catalog search using genetic algorithms

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