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IEEE Transactions on Evolutionary Computation

Issue 2 • Date April 2005

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Displaying Results 1 - 12 of 12
  • 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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  • Web-based evolutionary and adaptive information retrieval

    Publication Year: 2005, Page(s):117 - 125
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    The Internet and World Wide Web are becoming more and more dynamic in terms of their content and use. Information retrieval (IR) efforts aim to keep up with this dynamic environment by designing intelligent systems which can deliver Web content in real time to various wired or wireless devices. Evolutionary and adaptive systems (EASs) are emerging as typical examples of such systems. This paper co... View full abstract»

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  • The exploration/exploitation tradeoff in dynamic cellular genetic algorithms

    Publication Year: 2005, Page(s):126 - 142
    Cited by:  Papers (109)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1112 KB)

    This paper studies static and dynamic decentralized versions of the search model known as cellular genetic algorithm (cGA), in which individuals are located in a specific topology and interact only with their neighbors. Making changes in the shape of such topology or in the neighborhood may give birth to a high number of algorithmic variants. We perform these changes in a methodological way by tun... View full abstract»

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  • Multiobjective evolutionary optimization of DNA sequences for reliable DNA computing

    Publication Year: 2005, Page(s):143 - 158
    Cited by:  Papers (70)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1776 KB) | HTML iconHTML

    DNA computing relies on biochemical reactions of DNA molecules and may result in incorrect or undesirable computations. Therefore, much work has focused on designing the DNA sequences to make the molecular computation more reliable. Sequence design involves with a number of heterogeneous and conflicting design criteria and traditional optimization methods may face difficulties. In this paper, we f... View full abstract»

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  • Search bias in ant colony optimization: on the role of competition-balanced systems

    Publication Year: 2005, Page(s):159 - 174
    Cited by:  Papers (47)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (976 KB) | HTML iconHTML

    One of the problems encountered when applying ant colony optimization (ACO) to combinatorial optimization problems is that the search process is sometimes biased by algorithm features such as the pheromone model and the solution construction process. Sometimes this bias is harmful and results in a decrease in algorithm performance over time, which is called second-order deception. In this work, we... View full abstract»

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  • Parametric study for an ant algorithm applied to water distribution system optimization

    Publication Year: 2005, Page(s):175 - 191
    Cited by:  Papers (73)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1000 KB) | HTML iconHTML

    Much research has been carried out on the optimization of water distribution systems (WDSs). Within the last decade, the focus has shifted from the use of traditional optimization methods, such as linear and nonlinear programming, to the use of heuristics derived from nature (HDNs), namely, genetic algorithms, simulated annealing and more recently, ant colony optimization (ACO), an optimization al... View full abstract»

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  • An evolutionary algorithm with guided mutation for the maximum clique problem

    Publication Year: 2005, Page(s):192 - 200
    Cited by:  Papers (107)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (528 KB) | HTML iconHTML

    Estimation of distribution algorithms sample new solutions (offspring) from a probability model which characterizes the distribution of promising solutions in the search space at each generation. The location information of solutions found so far (i.e., the actual positions of these solutions in the search space) is not directly used for generating offspring in most existing estimation of distribu... View full abstract»

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  • A genetic algorithm for automated horizon correlation across faults in seismic images

    Publication Year: 2005, Page(s):201 - 210
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1752 KB) | HTML iconHTML

    Finding corresponding seismic horizons which have been separated by a fault is still performed manually in geological interpretation of seismic images. The difficulties of automating this task are due to the small amount of local information typical for those images, resulting in a high degree of interpretation uncertainty. Our approach is based on a model consisting of geological and geometrical ... View full abstract»

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  • A synthesis system for analog circuits based on evolutionary search and topological reuse

    Publication Year: 2005, Page(s):211 - 224
    Cited by:  Papers (44)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (608 KB) | HTML iconHTML

    We present a method for automated synthesis of analog circuits using evolutionary search and a set of circuit design rules based on topological reuse. The system requires only moderate expert knowledge on part of the user. It allows circuit size, circuit topology, and device values to evolve. The circuit representation scheme employs a topological reuse-based approach-it uses commonly used subcirc... View full abstract»

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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