IGAP: Interactive genetic algorithm peer to peer

Juan C. Quiroz; Amit Banerjee; Sushil J. Louis

doi:10.1145/1389095.1389426

IGAP: Interactive genetic algorithm peer to peer

Juan C. Quiroz, Amit Banerjee, Sushil J. Louis

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

10 Citations (Scopus)

Abstract

We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Through collaboration users are able to visualize designs done by peers on the network, while using case injection to allow them to bias their populations and the fitness function to adapt to subjective preferences.

Original language	English
Title of host publication	GECCO'08
Subtitle of host publication	Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008
Publisher	Association for Computing Machinery, Inc
Pages	1719-1720
Number of pages	2
ISBN (Print)	9781605581309
DOIs	https://doi.org/10.1145/1389095.1389426
Publication status	Published - 15 Dec 2008
Externally published	Yes
Event	10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008 - Atlanta, GA, United States Duration: 12 Jul 2008 → 16 Jul 2008

Conference

Conference	10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008
Country/Territory	United States
City	Atlanta, GA
Period	12/07/08 → 16/07/08

Keywords

Collaboration
Floorplanning
Interactive genetic algorithm
Peer to peer network

Access to Document

10.1145/1389095.1389426

Cite this

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title = "IGAP: Interactive genetic algorithm peer to peer",

abstract = "We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Through collaboration users are able to visualize designs done by peers on the network, while using case injection to allow them to bias their populations and the fitness function to adapt to subjective preferences.",

keywords = "Collaboration, Floorplanning, Interactive genetic algorithm, Peer to peer network",

author = "Quiroz, {Juan C.} and Amit Banerjee and Louis, {Sushil J.}",

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doi = "10.1145/1389095.1389426",

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publisher = "Association for Computing Machinery, Inc",

note = "10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008 ; Conference date: 12-07-2008 Through 16-07-2008",

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Quiroz, JC, Banerjee, A & Louis, SJ 2008, IGAP: Interactive genetic algorithm peer to peer. in GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008. Association for Computing Machinery, Inc, pp. 1719-1720, 10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008, Atlanta, GA, United States, 12/07/08. https://doi.org/10.1145/1389095.1389426

IGAP: Interactive genetic algorithm peer to peer. / Quiroz, Juan C.; Banerjee, Amit; Louis, Sushil J.
GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008. Association for Computing Machinery, Inc, 2008. p. 1719-1720.

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

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AU - Banerjee, Amit

AU - Louis, Sushil J.

PY - 2008/12/15

Y1 - 2008/12/15

N2 - We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Through collaboration users are able to visualize designs done by peers on the network, while using case injection to allow them to bias their populations and the fitness function to adapt to subjective preferences.

AB - We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Through collaboration users are able to visualize designs done by peers on the network, while using case injection to allow them to bias their populations and the fitness function to adapt to subjective preferences.

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KW - Floorplanning

KW - Interactive genetic algorithm

KW - Peer to peer network

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M3 - Conference proceeding contribution

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Y2 - 12 July 2008 through 16 July 2008

ER -

IGAP: Interactive genetic algorithm peer to peer

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Keywords

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