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IEEE Transactions on Evolutionary Computation

Issue 5 • Oct. 2007

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Displaying Results 1 - 16 of 16
  • Table of contents

    Publication Year: 2007, Page(s): C1
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  • IEEE Transactions on Evolutionary Computation publication information

    Publication Year: 2007, Page(s): C2
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  • Evolving Problems to Learn About Particle Swarm Optimizers and Other Search Algorithms

    Publication Year: 2007, Page(s):561 - 578
    Cited by:  Papers (61)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1602 KB) | HTML iconHTML

    We use evolutionary computation (EC) to automatically find problems which demonstrate the strength and weaknesses of modern search heuristics. In particular, we analyze particle swarm optimization (PSO), differential evolution (DE), and covariance matrix adaptation-evolution strategy (CMA-ES). Each evolutionary algorithm is contrasted with the others and with a robust nonstochastic gradient follow... View full abstract»

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  • An Evolutionary Algorithm for Global Optimization Based on Level-Set Evolution and Latin Squares

    Publication Year: 2007, Page(s):579 - 595
    Cited by:  Papers (81)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (830 KB) | HTML iconHTML

    In this paper, the level-set evolution is exploited in the design of a novel evolutionary algorithm (EA) for global optimization. An application of Latin squares leads to a new and effective crossover operator. This crossover operator can generate a set of uniformly scattered offspring around their parents, has the ability to search locally, and can explore the search space efficiently. To compute... View full abstract»

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  • Analog Genetic Encoding for the Evolution of Circuits and Networks

    Publication Year: 2007, Page(s):596 - 607
    Cited by:  Papers (54)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1741 KB) | HTML iconHTML

    This paper describes a new kind of genetic representation called analog genetic encoding (AGE). The representation is aimed at the evolutionary synthesis and reverse engineering of circuits and networks such as analog electronic circuits, neural networks, and genetic regulatory networks. AGE permits the simultaneous evolution of the topology and sizing of the networks. The establishment of the lin... View full abstract»

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  • A Runtime Analysis of Evolutionary Algorithms for Constrained Optimization Problems

    Publication Year: 2007, Page(s):608 - 619
    Cited by:  Papers (22)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (423 KB) | HTML iconHTML

    Although there are many evolutionary algorithms (EAs) for solving constrained optimization problems, there are few rigorous theoretical analyses. This paper presents a time complexity analysis of EAs for solving constrained optimization. It is shown when the penalty coefficient is chosen properly, direct comparison between pairs of solutions using penalty fitness function is equivalent to that usi... View full abstract»

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  • Solving the Register Allocation Problem for Embedded Systems Using a Hybrid Evolutionary Algorithm

    Publication Year: 2007, Page(s):620 - 634
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (873 KB) | HTML iconHTML

    Embedded systems are unique in the challenges they present to application programmers, such as power and memory space constraints. These characteristics make it imperative to design customized compiler passes. One of the important factors that shape runtime performance of a given embedded code is the register allocation phase of compilation. It is crucial to provide aggressive and sophisticated re... View full abstract»

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  • Visual Learning by Evolutionary and Coevolutionary Feature Synthesis

    Publication Year: 2007, Page(s):635 - 650
    Cited by:  Papers (28)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2532 KB) | HTML iconHTML

    In this paper, we present a novel method for learning complex concepts/hypotheses directly from raw training data. The task addressed here concerns data-driven synthesis of recognition procedures for real-world object recognition. The method uses linear genetic programming to encode potential solutions expressed in terms of elementary operations, and handles the complexity of the learning task by ... View full abstract»

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  • Classification With Ant Colony Optimization

    Publication Year: 2007, Page(s):651 - 665
    Cited by:  Papers (178)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1487 KB) | HTML iconHTML

    Ant colony optimization (ACO) can be applied to the data mining field to extract rule-based classifiers. The aim of this paper is twofold. On the one hand, we provide an overview of previous ant-based approaches to the classification task and compare them with state-of-the-art classification techniques, such as C4.5, RIPPER, and support vector machines in a benchmark study. On the other hand, a ne... View full abstract»

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  • Fault Tolerance Using Dynamic Reconfiguration on the POEtic Tissue

    Publication Year: 2007, Page(s):666 - 684
    Cited by:  Papers (27)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6885 KB) | HTML iconHTML

    Fault tolerance is a crucial operational aspect of biological systems and the self-repair capabilities of complex organisms far exceeds that of even the most advanced electronic devices. While many of the processes used by nature to achieve fault tolerance cannot easily be applied to silicon-based systems, in this paper we show that mechanisms loosely inspired by the operation of multicellular org... View full abstract»

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  • IEEE Congress on Evolutionary Computation

    Publication Year: 2007, Page(s): 685
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  • 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology

    Publication Year: 2007, Page(s): 686
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  • Special issue on swarm intelligence

    Publication Year: 2007, Page(s): 687
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  • Pre-submission professional editing services now available

    Publication Year: 2007, Page(s): 688
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2007, Page(s): C3
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  • IEEE Transactions on Evolutionary Computation Information for authors

    Publication Year: 2007, 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
Professor Kay Chen Tan (IEEE Fellow)
Department of Computer Science
City University of Hong Kong
Kowloon Tong, Kowloon, Hong Kong
Email: kaytan@cityu.edu.hk