IEEE Computational Intelligence Magazine

Issue 3 • Aug. 2009

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Displaying Results 1 - 21 of 21
  • IEEE Computational Magazine - Cover

    Publication Year: 2009, Page(s): C1
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  • IEEE Transactions on Evolutionary Computation

    Publication Year: 2009, Page(s): C2
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  • Table of contents

    Publication Year: 2009, Page(s): 1
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  • Evolutionary multiobjective optimization [Editor's remarks]

    Publication Year: 2009, Page(s): 2
    Cited by:  Papers (2)
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  • Technical publication and impact factors [President's message]

    Publication Year: 2009, Page(s): 3
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  • Interview with Kenneth A. De Dong, George Mason University, USA

    Publication Year: 2009, Page(s):4 - 5
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (315 KB) | HTML iconHTML

    Presents an interview with Kenneth A. De Jong, a professor at George Mason University. View full abstract»

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  • IEEE Transactions on Autonomous Mental Development - call for papers

    Publication Year: 2009, Page(s): 5
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  • Shanghai chapter report [family corner]

    Publication Year: 2009, Page(s): 6
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  • IEEE Transactions on Computational Intelligence and AI in games

    Publication Year: 2009, Page(s): 7
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  • 2008 IEEE Symposium on Computational Intelligence and Games (CIG 2008) [conference report]

    Publication Year: 2009, Page(s):8 - 9
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  • The evolution of swarm grammars- growing trees, crafting art, and bottom-up design

    Publication Year: 2009, Page(s):10 - 19
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2614 KB) | HTML iconHTML

    We presented swarm grammars as an extension of Lindenmayer systems. Instead of applying a single ('turtle') agent to convert linear strings into 3D structures, we use a swarm of agents "which navigate in 3D space and-as a side effect-place structural building blocks into their environment. The swarm grammars are used to specify how the setup of agent types changes over time. Additional agent param... View full abstract»

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  • Genetic approaches to search for computing patterns in cellular automata

    Publication Year: 2009, Page(s):20 - 28
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1061 KB) | HTML iconHTML

    The emergence of computation in complex systems "with simple components is a hot topic in the science of complexity. A uniform framework to study emergent computation in complex systems are cellular automata. They are discrete systems in which an array of cells evolves from generation to generation on the basis of local transition rules. The well-established problem of emergent computation and uni... View full abstract»

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  • Mebra: multiobjective evolutionary-based risk assessment

    Publication Year: 2009, Page(s):29 - 36
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (550 KB) | HTML iconHTML

    First Page of the Article
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  • Development and investigation of efficient GA/PSO-HYBRID algorithm applicable to real-world design optimization

    Publication Year: 2009, Page(s):36 - 44
    Cited by:  Papers (35)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1447 KB) | HTML iconHTML

    A sophisticated GA/PSO-hybrid algorithm for application to real-world optimization problems was proposed. The configurations of the two consisting methods, GA and PSO, were investigated to enhance the diversity of the former and the fast convergence of the latter simultaneously. The new hybrid algorithm was applied to two test function problems, and the results indicated that the search ability wa... View full abstract»

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  • Experience teaching a graduate level course in evolutionary computation

    Publication Year: 2009, Page(s):45 - 46
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (171 KB) | HTML iconHTML

    In summary, the course is an in-depth introduction to evolutionary computing techniques and other nature inspired algorithms in the area of computational intelligence, enabling the students to understand the current work in the field and providing starting points for novel research. The feedback from the students has been very positive and encouraging. I have been gratified many times at the end o... View full abstract»

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  • Multicriteria decision making (mcdm): a framework for research and applications

    Publication Year: 2009, Page(s):48 - 61
    Cited by:  Papers (33)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3042 KB) | HTML iconHTML

    We view Multicriteria Decision Making (MCDM) as the conjunction of three components: search, preference tradeoffs, and interactive visualization. The first MCDM component is the search process over the space of possible solutions to identify the non-dominated solutions that compose the Pareto set. The second component is the preference tradeoff process to select a single solution (or a small subse... View full abstract»

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  • A systems approach to evolutionary multiobjective structural optimization and beyond

    Publication Year: 2009, Page(s):62 - 76
    Cited by:  Papers (34)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3568 KB) | HTML iconHTML

    Multiobjective evolutionary algorithms (MOEAs) have shown to be effective in solving a wide range of test problems. However, it is not straightforward to apply MOEAs to complex real-world problems. This paper discusses the major challenges we face in applying MOEAs to complex structural optimization, including the involvement of time-consuming and multi-disciplinary quality evaluation processes, c... View full abstract»

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  • Closed-loop evolutionary multiobjective optimization

    Publication Year: 2009, Page(s):77 - 91
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2221 KB) | HTML iconHTML

    Artificial evolution has been used for more than 50 years as a method of optimization in engineering, operations research and computational intelligence. In closed-loop evolution (a term used by the statistician, George Box) or, equivalently, evolutionary experimentation (Ingo Rechenberg's terminology), the "phenotypes" are evaluated in the real world by conducting a physical experiment, whilst se... View full abstract»

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  • Clustering (Xu, R. and Wunsch II, D.C.; 2009) [Book review]

    Publication Year: 2009, Page(s):92 - 95
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  • IEEE Transactions on Computational Intelligence and AI in Games

    Publication Year: 2009, Page(s): 95
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  • Conference calendar

    Publication Year: 2009, Page(s):94 - 95
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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