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IEEE Transactions on Evolutionary Computation

Issue 3 • Date June 2011

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Displaying Results 1 - 14 of 14
  • Table of contents

    Publication Year: 2011, Page(s): C1
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  • IEEE Transactions on Evolutionary Computation publication information

    Publication Year: 2011, Page(s): C2
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  • Guest Editorial: Special Issue on Evolving Developmental Systems

    Publication Year: 2011, Page(s):285 - 286
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  • On Synergistic Interactions Between Evolution, Development and Layered Learning

    Publication Year: 2011, Page(s):287 - 312
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1519 KB) | HTML iconHTML

    We investigate interactions between evolution, development and lifelong layered learning in a combination we call evolutionary developmental evaluation (EDE), using a specific implementation, developmental tree-adjoining grammar guided genetic programming (GP). The approach is consistent with the process of biological evolution and development in higher animals and plants, and is justifiable from ... View full abstract»

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  • An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental System

    Publication Year: 2011, Page(s):313 - 345
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2713 KB) | HTML iconHTML

    Multicellular organisms in biology possess invaluable characteristics, which artificial systems in engineering lack, such as adaptivity and robustness. Modeling biologically inspired multicellular developmental systems in evolutionary computation have been considered for a number of years, and there exist many developmental simulations that capture multicellular characteristics of biological organ... View full abstract»

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  • On the Performance of Indirect Encoding Across the Continuum of Regularity

    Publication Year: 2011, Page(s):346 - 367
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2562 KB) | HTML iconHTML

    This paper investigates how an evolutionary algorithm with an indirect encoding exploits the property of phenotypic regularity, an important design principle found in natural organisms and engineered designs. We present the first comprehensive study showing that such phenotypic regularity enables an indirect encoding to outperform direct encoding controls as problem regularity increases. Such an a... View full abstract»

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  • Evolving Symmetry for Modular System Design

    Publication Year: 2011, Page(s):368 - 386
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1773 KB) | HTML iconHTML

    Symmetry is useful as a constraint in designing complex systems such as distributed controllers for multilegged robots. However, it is often difficult to determine which symmetries are appropriate. It is therefore desirable to design such systems automatically, e.g., by utilizing evolutionary algorithms that produce symmetry through developmental mechanisms. The success of these algorithms depends... View full abstract»

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  • Robustness and the Halting Problem for Multicellular Artificial Ontogeny

    Publication Year: 2011, Page(s):387 - 404
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (670 KB) | HTML iconHTML

    Most works in multicellular artificial ontogeny solve the halting problem by arbitrarily limiting the number of iterations of the developmental process. Hence, the trajectory of the developing organism in the phenotypic space is only required to come close to an accurate solution during a very short developmental period. Because of the well-known opportunism of evolution, there is indeed no reason... View full abstract»

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  • Stochastic Stability Analysis of the Linear Continuous and Discrete PSO Models

    Publication Year: 2011, Page(s):405 - 423
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1610 KB) | HTML iconHTML

    Particle swarm optimization (PSO) can be interpreted physically as a particular discretization of a stochastic damped mass-spring system. Knowledge of this analogy has been crucial to derive the PSO continuous model and to introduce different PSO family members including the generalized PSO (GPSO) algorithm, which is the generalization of PSO for any time discretization step. In this paper, we pre... View full abstract»

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  • Hyperinteractive Evolutionary Computation

    Publication Year: 2011, Page(s):424 - 433
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (813 KB) | HTML iconHTML

    We propose hyperinteractive evolutionary computation (HIEC), a class of IEC in which the user actively chooses when and how each evolutionary operator is applied. To evaluate the benefits of HIEC, we conducted three human-subject experiments. The first two experiments showed that HIEC is associated with a more positive user experience and produced higher quality designs. The third experiment demon... View full abstract»

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    Publication Year: 2011, Page(s): 434
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  • IEEE copyright form

    Publication Year: 2011, Page(s):435 - 436
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2011, Page(s): C3
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  • IEEE Transactions on Evolutionary Computation Information for authors

    Publication Year: 2011, Page(s): C4
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Aims & Scope

IEEE Transactions on Evolutionary Computation publishes archival quality original papers in evolutionary computation and related areas including nature-inspired algorithms, population-based methods, and optimization where selection and variation are integral, and hybrid systems where these paradigms are combined. Purely theoretical papers are considered as are application papers that provide general insights into these areas of computation.
 

Full Aims & Scope

Meet Our Editors

Editor-in-Chief

Dr. Kay Chen Tan (IEEE Fellow)

Department of Electrical and Computer Engineering

National University of Singapore

Singapore 117583

Email: eletankc@nus.edu.sg

Website: http://vlab.ee.nus.edu.sg/~kctan