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Simulated Evolution And Learning : 7Th International Conference Seal 2008 Melbourne Australia December 7-10 2008 Proceedings at Meripustak

Simulated Evolution And Learning : 7Th International Conference Seal 2008 Melbourne Australia December 7-10 2008 Proceedings by Edited by Xiaodong Li Edited by Michael Kirley Edited by Mengjie Zhang Edited by Vic Ciesielski Edited by Zbigniew Michalewicz Edited by Tim Hendtlass Edited by Kalyanmoy Deb Edited by K. C. Ta, Springer-Verlag Berlin and Heidelberg GmbH & Co. KG


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  • General Information  
    Author(s)Edited by Xiaodong Li Edited by Michael Kirley Edited by Mengjie Zhang Edited by Vic Ciesielski Edited by Zbigniew Michalewicz Edited by Tim Hendtlass Edited by Kalyanmoy Deb Edited by K. C. Ta
    PublisherSpringer-Verlag Berlin and Heidelberg GmbH & Co. KG
    EditionEdition Statement 2008 ed.
    ISBN9783540896937
    Pages658
    BindingHardback
    LanguageEnglish
    Publish YearDecember 2008

    Description

    Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Simulated Evolution And Learning : 7Th International Conference Seal 2008 Melbourne Australia December 7-10 2008 Proceedings by Edited by Xiaodong Li Edited by Michael Kirley Edited by Mengjie Zhang Edited by Vic Ciesielski Edited by Zbigniew Michalewicz Edited by Tim Hendtlass Edited by Kalyanmoy Deb Edited by K. C. Ta

    This LNCS volume contains the papers presented at SEAL 2008 the 7th Int- nationalConference on Simulated Evolutionand Learningheld December 7-10 2008 in Melbourne Australia. SEAL is a prestigious international conference series in evolutionary computation and learning. This biennial event was ?rst held in Seoul Korea in 1996 and then in Canberra Australia (1998) Nagoya Japan (2000) Singapore (2002) Busan Korea (2004) and Hefei China (2006). SEAL 2008 received 140 paper submissions from more than 30 countries. After a rigorous peer-review process involving at least 3 reviews for each paper (i.e. over 420 reviews in total) the best 65 papers were selected to be presented at the conference and included in this volume resulting in an acceptance rate of about 46%. The papers included in this volume cover a wide range of topics in simulated evolution and learning: from evolutionarylearning to evolutionary optimization from hybrid systems to adaptive systems from theoretical issues to real-world applications. They represent some of the latest and best research in simulated evolution and learning in the world.show more



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