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IEEE Transactions on Evolutionary Computation

Issue 4 • Aug. 2005

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Displaying Results 1 - 11 of 11
  • Table of contents

    Publication Year: 2005, Page(s): c1
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  • IEEE Transactions on Evolutionary Computation publication information

    Publication Year: 2005, Page(s): c2
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  • Multiobjectivity and Complexity in Embodied Cognition

    Publication Year: 2005, Page(s):337 - 360
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1272 KB) | HTML iconHTML

    We propose a novel perspective on the use of evolutionary multiobjective optimization (EMO) as a paradigm for evolving embodied organisms and as a framework for characterizing complexity. The paper demonstrates novel experiments that show the power of EMO in generating robots with different morphologies, yet with very similar locomotion abilities. The proposed framework for comparing the complexit... View full abstract»

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  • Nonlinear System Identification Using Coevolution of Models and Tests

    Publication Year: 2005, Page(s):361 - 384
    Cited by:  Papers (41)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1600 KB) | HTML iconHTML

    We present a coevolutionary algorithm for inferring the topology and parameters of a wide range of hidden nonlinear systems with a minimum of experimentation on the target system. The algorithm synthesizes an explicit model directly from the observed data produced by intelligently generated tests. The algorithm is composed of two coevolving populations. One population evolves candidate models that... View full abstract»

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  • Large Barrier Trees for Studying Search

    Publication Year: 2005, Page(s):385 - 397
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (552 KB) | HTML iconHTML

    Barrier trees are a method for representing the landscape structure of high-dimensional discrete spaces such as those that occur in the cost function of combinatorial optimization problems. The leaves of the tree represent local optima and a vertex where subtrees join represents the lowest cost saddle-point between the local optima in the subtrees. This paper introduces an extension to existing Ba... View full abstract»

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  • On the practicality of using intrinsic reconfiguration for fault recovery

    Publication Year: 2005, Page(s):398 - 405
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (200 KB) | HTML iconHTML

    Evolvable hardware (EHW) combines the powerful search capability of evolutionary algorithms with the flexibility of reprogrammable devices, thereby providing a natural framework for reconfiguration. This framework has generated an interest in using EHW for fault-tolerant systems because reconfiguration can effectively deal with hardware faults whenever it is impossible to provide spares. But syste... View full abstract»

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  • Parallel Implementation of EDAs Based on Probabilistic Graphical Models

    Publication Year: 2005, Page(s):406 - 423
    Cited by:  Papers (29)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1232 KB) | HTML iconHTML

    This paper proposes new parallel versions of some estimation of distribution algorithms (EDAs). Focus is on maintenance of the behavior of sequential EDAs that use probabilistic graphical models (Bayesian networks and Gaussian networks), implementing a master–slave workload distribution for the most computationally intensive phases: learning the probability distribution and, in one algorithm... View full abstract»

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  • A Generic Framework for Constrained Optimization Using Genetic Algorithms

    Publication Year: 2005, Page(s):424 - 435
    Cited by:  Papers (155)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (424 KB) | HTML iconHTML

    In this paper, we propose a generic, two-phase framework for solving constrained optimization problems using genetic algorithms. In the first phase of the algorithm, the objective function is completely disregarded and the constrained optimization problem is treated as a constraint satisfaction problem. The genetic search is directed toward minimizing the constraint violation of the solutions and ... View full abstract»

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  • Celebrating the vitality of technology the Proceedings of the IEEE [advertisement]

    Publication Year: 2005, Page(s): 436
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2005, Page(s): c3
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  • IEEE Transactions on Evolutionary Computation Information for authors

    Publication Year: 2005, 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.
 

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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