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IEEE Computational Intelligence Magazine

Issue 1 • Date February 2008

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Displaying Results 1 - 25 of 27
  • Front cover - IEEE Computational Intelligence Magazine

    Publication Year: 2008, Page(s): c1
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  • Table of contents

    Publication Year: 2008, Page(s): 1
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  • An everlasting tribute [Editor's Remarks]

    Publication Year: 2008, Page(s): 2
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  • Looking forward [President's Message]

    Publication Year: 2008, Page(s): 3
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  • 2008 CIS Awards [Society Briefs]

    Publication Year: 2008, Page(s):4 - 7
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  • Interview with President of CIS, 2008-2009 - David B. Fogel [Career Profile]

    Publication Year: 2008, Page(s):8 - 9
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  • Toronto Chapter Report [Family Corner]

    Publication Year: 2008, Page(s):10 - 11
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  • Evolving intelligent agents: A 50 year quest

    Publication Year: 2008, Page(s):12 - 17
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (724 KB) | HTML iconHTML

    Already in the early 1960s, Larry Fogel and his colleagues were exploring the possibility of creating artificial intelligence using simulated evolution. Over the past 50 years, that idea has captured the imagination of many people and has led to a wide variety of approaches. In this article, this quest is summarized, the current state of the art is described, and some of the remaining open questio... View full abstract»

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  • Computing with the social fabric: The evolution of social intelligence within a cultural framework

    Publication Year: 2008, Page(s):18 - 30
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2347 KB) | HTML iconHTML

    Cultural algorithms employ a basic set of knowledge sources, each related to knowledge observed in various animal species. These knowledge sources are then combined to direct the decisions of the individual agents in solving optimization problems using an influence function inspired by the marginal value theorem from population biology. We briefly describe an implementation of this approach, the c... View full abstract»

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  • Evolving artificial neural network ensembles

    Publication Year: 2008, Page(s):31 - 42
    Cited by:  Papers (55)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (872 KB) | HTML iconHTML

    Using a coordinated group of simple solvers to tackle a complex problem is not an entirely new idea. Its root could be traced back hundreds of years ago when ancient Chinese suggested a team approach to problem solving. For a long time, engineers have used the divide-and-conquer strategy to decompose a complex problem into simpler sub-problems and then solve them by a group of solvers. However, kn... View full abstract»

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  • Multi-objective evolutionary generation process for specific personalities of artificial creature

    Publication Year: 2008, Page(s):43 - 53
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2049 KB) | HTML iconHTML

    An artificial creature has its own genome in which each chromosome consists of many genes that contribute to defining its personality. The large number of genes allows a highly complex system. It becomes increasingly difficult and time-consuming to ensure reliability, variability and consistency for the artificial creature's personality, if gene values are manually assigned for the individual geno... View full abstract»

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  • Machine intelligence, adaptive business intelligence, and natural intelligence [Research Frontier]

    Publication Year: 2008, Page(s):54 - 63
    Cited by:  Papers (3)
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  • Evolutionary algorithms for real world applications [Application Notes]

    Publication Year: 2008, Page(s):64 - 67
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (319 KB) | HTML iconHTML

    In this section, we will report on three applications of evolutionary algorithms (EA) in real world parameter optimization. These applications show how the principles, such as robustness and representation independence, make it possible to extend the scope of optimization algorithms available so far and find answers to problems where classical solution methods fail.Evolutionary algorithms are toda... View full abstract»

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  • In Memoriam - Dr. Lawrence J. Fogel

    Publication Year: 2008, Page(s):68 - 69
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  • In Memoriam - Reflections on Larry Fogel at Decision Science, Inc. (1965-1982)

    Publication Year: 2008, Page(s):69 - 72
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  • In Memoriam - Reflections on Larry Fogel at The Titan Corporation (1982-1988)

    Publication Year: 2008, Page(s):72 - 73
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  • In Memoriam - Reflections on Larry Fogel at ORINCON Corporation (1988-1993)

    Publication Year: 2008, Page(s):73 - 74
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  • In Memoriam - Reflections on Larry Fogel at Natural Selection, Inc. (1993-2007)

    Publication Year: 2008, Page(s):74 - 76
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  • In Memoriam - Reflections on Larry Fogel's Contributions to Computational Intelligence (1966-2007)

    Publication Year: 2008, Page(s):76 - 77
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  • 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2007) [Conference Reports]

    Publication Year: 2008, Page(s):78 - 79
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  • 2007 IEEE Symposium on Computational Intelligence and Games (CIG 2007) [Conference Reports]

    Publication Year: 2008, Page(s):79 - 80
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  • 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007) [Conference Reports]

    Publication Year: 2008, Page(s):80 - 82
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  • 2007 International Joint Conference on Neural Networks (IJCNN 2007) [Conference Reports]

    Publication Year: 2008, Page(s):82 - 83
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  • Student connection [Member's Inquiry]

    Publication Year: 2008, Page(s):84 - 85
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  • Conference calendar

    Publication Year: 2008, Page(s): 86
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Aims & Scope

The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications, in keeping with the Field of Interest of the IEEE Computational Intelligence Society (IEEE/CIS). 

Full Aims & Scope