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IEEE Transactions on Evolutionary Computation

Issue 4 • Date Nov. 1998

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Displaying Results 1 - 7 of 7
  • Introduction To Artificial Life

    Publication Year: 1998, Page(s):168 - 170
    Cited by:  Papers (2)
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    Freely Available from IEEE
  • Author index

    Publication Year: 1998, Page(s): 172
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  • Subject index

    Publication Year: 1998, Page(s):172 - 174
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    Freely Available from IEEE
  • An efficient evolutionary algorithm for channel resource management in cellular mobile systems

    Publication Year: 1998, Page(s):125 - 137
    Cited by:  Papers (26)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (284 KB)

    Modern cellular mobile communications systems are characterized by a high degree of capacity. Consequently, they have to serve the maximum possible number of calls while the number of channels per cell is limited. The objective of channel allocation is to assign a required number of channels to each cell such that both efficient frequency spectrum utilization is provided and interference effects a... View full abstract»

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  • A genetic algorithm for the multiple destination routing problems

    Publication Year: 1998, Page(s):150 - 161
    Cited by:  Papers (51)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB)

    The multiple destination routing (MDR) problem can be formulated as finding a minimal cost tree which contains designated source and multiple destination nodes so that certain constraints in a given communication network are satisfied. This is a typical NP-hard problem, and therefore only heuristic algorithms are of practical value. As a first step, a new genetic algorithm is developed to solve th... View full abstract»

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  • Robust design of multilayer optical coatings by means of evolutionary algorithms

    Publication Year: 1998, Page(s):162 - 167
    Cited by:  Papers (33)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB)

    Robustness is an important requirement for almost all kinds of products. This article shows how evolutionary algorithms can be applied for robust design based on the approach of Taguchi. To achieve a better understanding of the consequences of this approach, we first present some analytical results gained from a toy problem. As a nontrivial industrial application we consider the design of multilay... View full abstract»

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  • Integrating fuzzy knowledge by genetic algorithms

    Publication Year: 1998, Page(s):138 - 149
    Cited by:  Papers (91)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (388 KB)

    We propose a genetic algorithm-based fuzzy knowledge integration framework that can simultaneously integrate multiple fuzzy rule sets and their membership function sets. The proposed approach consists of two phases: fuzzy knowledge encoding and fuzzy knowledge integration. In the encoding phase, each fuzzy rule set with its associated membership functions is first transformed into an intermediary ... View full abstract»

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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