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IEEE Transactions on Evolutionary Computation

Issue 2 • Date April 2010

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Displaying Results 1 - 14 of 14
  • Table of contents

    Publication Year: 2010, Page(s): C1
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  • IEEE Transactions on Evolutionary Computation publication information

    Publication Year: 2010, Page(s): C2
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  • Implicitly Controlling Bloat in Genetic Programming

    Publication Year: 2010, Page(s):173 - 190
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1551 KB) | HTML iconHTML

    During the evolution of solutions using genetic programming (GP) there is generally an increase in average tree size without a corresponding increase in fitness-a phenomenon commonly referred to as bloat. Although previously studied from theoretical and practical viewpoints there has been little progress in deriving controls for bloat which do not explicitly refer to tree size. Here, the use of sp... View full abstract»

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  • A Favorable Weight-Based Evolutionary Algorithm for Multiple Criteria Problems

    Publication Year: 2010, Page(s):191 - 205
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (558 KB) | HTML iconHTML

    In this paper, we present a favorable weight-based evolutionary algorithm for multiple criteria problems. The algorithm tries to both approximate the Pareto frontier and evenly distribute the solutions over the frontier. These two goals are common for many multiobjective evolutionary algorithms. To achieve these goals in our algorithm, each member selects its own weights for a weighted Tchebycheff... View full abstract»

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  • Nonlinear Network Optimization—An Embedding Vector Space Approach

    Publication Year: 2010, Page(s):206 - 226
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (981 KB) | HTML iconHTML

    This paper proposes a normed-space vector representation of networks which allows defining evolutionary operators for network optimization that resemble continuous-space operators. These operators are employed here to build a genetic algorithm which becomes generic for the optimization of tree networks, without the requirement of any special encoding scheme. Such a genetic algorithm has been compa... View full abstract»

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  • The CMA-ES on Riemannian Manifolds to Reconstruct Shapes in 3-D Voxel Images

    Publication Year: 2010, Page(s):227 - 245
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (948 KB) | HTML iconHTML

    The covariance matrix adaptation evolution strategy (CMA-ES) has been successfully used to minimize functionals on vector spaces. We generalize the concept of the CMA-ES to Riemannian manifolds and evaluate its performance in two experiments. First, we minimize synthetic functionals on the 2-D sphere. Second, we consider the reconstruction of shapes in 3-D voxel data. A novel formulation of this p... View full abstract»

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  • Automatic Reproduction of a Genius Algorithm: Strassen's Algorithm Revisited by Genetic Search

    Publication Year: 2010, Page(s):246 - 251
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (226 KB) | HTML iconHTML

    In 1968, Volker Strassen, a young German mathematician, announced a clever algorithm to reduce the asymptotic complexity of n??n matrix multiplication from the order of n 3 to n 2.81. It soon became one of the most famous scientific discoveries in the 20th century and provoked numerous studies by other mathematicians to improve upon it. Although a number ... View full abstract»

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  • On the Importance of Data Balancing for Symbolic Regression

    Publication Year: 2010, Page(s):252 - 277
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2820 KB) | HTML iconHTML

    Symbolic regression of input-output data conventionally treats data records equally. We suggest a framework for automatic assignment of weights to data samples, which takes into account the sample's relative importance. In this paper, we study the possibilities of improving symbolic regression on real-life data by incorporating weights into the fitness function. We introduce four weighting schemes... View full abstract»

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  • A Novel Set-Based Particle Swarm Optimization Method for Discrete Optimization Problems

    Publication Year: 2010, Page(s):278 - 300
    Cited by:  Papers (108)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1748 KB) | HTML iconHTML

    Particle swarm optimization (PSO) is predominately used to find solutions for continuous optimization problems. As the operators of PSO are originally designed in an n-dimensional continuous space, the advancement of using PSO to find solutions in a discrete space is at a slow pace. In this paper, a novel set-based PSO (S-PSO) method for the solutions of some combinatorial optimization prob... View full abstract»

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  • Computational Evolutionary Embryogeny

    Publication Year: 2010, Page(s):301 - 325
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1889 KB) | HTML iconHTML

    Evolutionary and developmental processes are used to evolve the configurations of 3-D structures in silico to achieve desired performances. Natural systems utilize the combination of both evolution and development processes to produce remarkable performance and diversity. However, this approach has not yet been applied extensively to the design of continuous 3-D load-supporting structures. Beginni... View full abstract»

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  • WCCI 2010 Barcelona International Convention Centre (CCIB)

    Publication Year: 2010, Page(s): 326
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  • IEEE copyright form

    Publication Year: 2010, Page(s):327 - 328
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2010, Page(s): C3
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  • IEEE Transactions on Evolutionary Computation Information for authors

    Publication Year: 2010, 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.
 

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