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IEEE Transactions on Evolutionary Computation

Issue 1 • Date Apr 1999

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Displaying Results 1 - 5 of 5
  • A MS-GS VQ codebook design for wireless image communication using genetic algorithms

    Publication Year: 1999, Page(s):35 - 52
    Cited by:  Papers (1)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1436 KB)

    An image compression technique is proposed that attempts to achieve both robustness to transmission bit errors common to wireless image communication, as well as sufficient visual quality of the reconstructed images. Error robustness is achieved by using biorthogonal wavelet subband image coding with multistage gain-shape vector quantization (MS-GS VQ) which uses three stages of signal decompositi... View full abstract»

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  • An orthogonal genetic algorithm for multimedia multicast routing

    Publication Year: 1999, Page(s):53 - 62
    Cited by:  Papers (80)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    Many multimedia communication applications require a source to send multimedia information to multiple destinations through a communication network. To support these applications, it is necessary to determine a multicast tree of minimal cost to connect the source node to the destination nodes subject to delay constraints on multimedia communication. This problem is known as multimedia multicast ro... View full abstract»

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  • A multistage evolutionary algorithm for the timetable problem

    Publication Year: 1999, Page(s):63 - 74
    Cited by:  Papers (61)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (276 KB)

    It is well known that timetabling problems can be very difficult to solve, especially when dealing with particularly large instances. Finding near-optimal results can prove to be extremely difficult, even when using advanced search methods such as evolutionary algorithms (EAs). The paper presents a method of decomposing larger problems into smaller components, each of which is of a size that the E... View full abstract»

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  • System design by constraint adaptation and differential evolution

    Publication Year: 1999, Page(s):22 - 34
    Cited by:  Papers (192)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (528 KB)

    A simple optimization procedure for constraint-based problems is described which works with a simplified cost function or even without one. The simplification of the problem formulation makes this method particularly attractive. The new method lends itself to parallel computation and is well suited for constraint satisfaction, constrained optimization, and design centering problems. A further asse... View full abstract»

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  • Image segmentation using evolutionary computation

    Publication Year: 1999, Page(s):1 - 21
    Cited by:  Papers (67)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1828 KB)

    Image segmentation denotes a process by which a raw input image is partitioned into nonoverlapping regions such that each region is homogeneous and the union of any two adjacent regions is heterogeneous. A segmented image is considered to be the highest domain-independent abstraction of an input image. The image segmentation problem is treated as one of combinatorial optimization. A cost function ... 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.
 

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