poster

IGAP: interactive genetic algorithm peer to peer

Authors:

Juan C. Quiroz,

Amit Banerjee,

Sushil J. LouisAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1719 - 1720

https://doi.org/10.1145/1389095.1389426

Published: 12 July 2008 Publication History

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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.

References

[1]

A. Banerjee, J. C. Quiroz, and S. J. Louis. A model of creative design using collaborative interactive genetic algorithms. In Proceedings of the Third International Conference on Design Computing and Cognition. DCC08, 2008.

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[2]

P. J. Bentley and J. P. Wakefield. Conceptual evolutionary design by genetic algorithms. Engineering Design and Automation Journal, 3:--131, 1997.

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[3]

D. E. Goldberg. The Design of Innovation. Springer, 1 edition, June 2002.

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[4]

S. Louis and C. Miles. Playing to learn: case-injected genetic algorithms for learning to play computer games. Evolutionary Computation, IEEE Transactions on, 9:669--681, 2005.

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[5]

E. Neufert, P. Neufert, B. Baiche, and N. Walliman. Architects' Data. Wiley-Blackwell, 2002.

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[6]

G. Renner and A. Ekárt. Genetic algorithms in computer aided design. Computer-Aided Design, 35:709--726, 2003.

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Cited By

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Leelathakul NRimcharoen S(2020)Generating Kranok patterns with an interactive evolutionary algorithmApplied Soft Computing10.1016/j.asoc.2020.10612189:COnline publication date: 1-Apr-2020
https://dl.acm.org/doi/10.1016/j.asoc.2020.106121
Fernández-Leiva AGutiérrez-Fuentes Á(2019)On distributed user-centric memetic algorithmsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3049-523:12(4019-4039)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s00500-018-3049-5
García-Saravia JSalas-Morera LGarcía-Hernández LAntolí Cabrera A(2017)Application of an Eye Tracker Over Facility Layout Problem to Minimize User FatigueAdvances in Computational Intelligence10.1007/978-3-319-59153-7_13(145-156)Online publication date: 18-May-2017
https://doi.org/10.1007/978-3-319-59153-7_13
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Index Terms

IGAP: interactive genetic algorithm peer to peer
1. Computing methodologies
  1. Artificial intelligence
    1. Control methods
    2. Search methodologies
2. Theory of computation
  1. Design and analysis of algorithms
    1. Algorithm design techniques
      1. Dynamic programming

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Published In

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 July 2008

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Leelathakul NRimcharoen S(2020)Generating Kranok patterns with an interactive evolutionary algorithmApplied Soft Computing10.1016/j.asoc.2020.10612189:COnline publication date: 1-Apr-2020
https://dl.acm.org/doi/10.1016/j.asoc.2020.106121
Fernández-Leiva AGutiérrez-Fuentes Á(2019)On distributed user-centric memetic algorithmsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3049-523:12(4019-4039)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s00500-018-3049-5
García-Saravia JSalas-Morera LGarcía-Hernández LAntolí Cabrera A(2017)Application of an Eye Tracker Over Facility Layout Problem to Minimize User FatigueAdvances in Computational Intelligence10.1007/978-3-319-59153-7_13(145-156)Online publication date: 18-May-2017
https://doi.org/10.1007/978-3-319-59153-7_13
Garcia-Hernandez LPierreval HSalas-Morera LArauzo-Azofra A(2013)Handling qualitative aspects in Unequal Area Facility Layout ProblemApplied Soft Computing10.1016/j.asoc.2013.01.00313:4(1718-1727)Online publication date: 1-Apr-2013
https://dl.acm.org/doi/10.1016/j.asoc.2013.01.003
Badillo ARuiz JCotta CFernández-Leiva A(2013)On user-centric memetic algorithmsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-012-0893-617:2(285-300)Online publication date: 1-Feb-2013
https://dl.acm.org/doi/10.1007/s00500-012-0893-6
Cotta CFernández-Leiva A(2011)Bio-inspired combinatorial optimizationProceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II10.5555/2023332.2023382(348-355)Online publication date: 8-Jun-2011
https://dl.acm.org/doi/10.5555/2023332.2023382
Hernandez LMorera LAzofra A(2011)An Interactive Genetic Algorithm for the Unequal Area Facility Layout ProblemSoft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 201110.1007/978-3-642-19644-7_27(253-262)Online publication date: 2011
https://doi.org/10.1007/978-3-642-19644-7_27
Garci LPierreval HSalas-Morera LArauzo-Azofra A(2010)An Interactive Genetic Algorithm with c-Means clustering for the Unequal Area Facility Layout Problem2010 10th International Conference on Intelligent Systems Design and Applications10.1109/ISDA.2010.5687291(61-66)Online publication date: Nov-2010
https://doi.org/10.1109/ISDA.2010.5687291

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Controlling Free Riders in Peer to Peer Networks by Intelligent Mining

Searching the video: an efficient indexing method for video retrieval in peer to peer network

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