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Study of the Migration Scheme Influence on Performance of A-Teams Solving the Job Shop Scheduling Problem

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7654))

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Abstract

The paper investigates the impact of migration scheme on performance in systems with A-Teams working in parallel, in the architecture designed for solving difficult combinatorial optimization problems and used for solving Job Shop Scheduling Problem. A-Teams, or islands, belonging to the team of A-Teams, cooperate through exchange of intermediary computation results, following certain migration scheme. The number of results forwarded from one A-Team to another, e.g. migration size, is experimentally investigated in combination with different numbers and sizes of the islands.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Gdynia Maritime University, Morska 81-87, 81-225, Gdynia, Poland

    Piotr Jędrzejowicz & Izabela Wierzbowska

Authors
  1. Piotr Jędrzejowicz
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  2. Izabela Wierzbowska
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Editor information

Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Ngoc-Thanh Nguyen

  2. University of Information Technology, National Vietnam University VNU-HCM, Ho Chi Minh city, Vietnam

    Kiem Hoang

  3. Gdynia Maritime University, Str. Morska 81-87,, 81-225, Gdynia, Poland

    Piotr Jȩdrzejowicz

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Jędrzejowicz, P., Wierzbowska, I. (2012). Study of the Migration Scheme Influence on Performance of A-Teams Solving the Job Shop Scheduling Problem. In: Nguyen, NT., Hoang, K., Jȩdrzejowicz, P. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2012. Lecture Notes in Computer Science(), vol 7654. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34707-8_43

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  • DOI: https://doi.org/10.1007/978-3-642-34707-8_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34706-1

  • Online ISBN: 978-3-642-34707-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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