By Topic

IEEE Transactions on Evolutionary Computation

Issue 3 • Sept. 1997

Filter Results

Displaying Results 1 - 7 of 7
  • Evolutionary Games And Equilibrium Selection[Book Reviews]

    Publication Year: 1997, Page(s):217 - 218
    Request permission for commercial reuse | PDF file iconPDF (23 KB)
    Freely Available from IEEE
  • Evolutionary Programming VI[Book Reviews]

    Publication Year: 1997, Page(s):218 - 219
    Request permission for commercial reuse | PDF file iconPDF (25 KB)
    Freely Available from IEEE
  • Evolving computer programs without subtree crossover

    Publication Year: 1997, Page(s):209 - 216
    Cited by:  Papers (51)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB)

    An evolutionary programming procedure is used for optimizing computer programs in the form of symbolic expressions. Six tree mutation operators are proposed. Recombination operators such as crossover are not included. The viability and efficiency of the method is extensively investigated on a set of well-studied problems. The evidence indicates that the technique is not only viable but is indeed c... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Genetic algorithms with a robust solution searching scheme

    Publication Year: 1997, Page(s):201 - 208
    Cited by:  Papers (108)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB)

    A large fraction of studies on genetic algorithms (GAs) emphasize finding a globally optimal solution. Some other investigations have also been made for detecting multiple solutions. If a global optimal solution is very sensitive to noise or perturbations in the environment then there may be cases where it is not good to use this solution. In this paper, we propose a new scheme which extends the a... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Generating fuzzy rules for target tracking using a steady-state genetic algorithm

    Publication Year: 1997, Page(s):189 - 200
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    Radar target tracking involves predicting the future trajectory of a target based on its past positions. This problem has been dealt with using trackers developed under various assumptions about statistical models of process and measurement noise and about target dynamics. Due to these assumptions, existing trackers are not very effective when executed in a stressful environment in which a target ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Local search genetic algorithm for optimal design of reliable networks

    Publication Year: 1997, Page(s):179 - 188
    Cited by:  Papers (112)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    This paper presents a genetic algorithm (GA) with specialized encoding, initialization, and local search operators to optimize the design of communication network topologies. This NP-hard problem is often highly constrained so that random initialization and standard genetic operators usually generate infeasible networks. Another complication is that the fitness function involves calculating the al... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Automatic discovery of self-replicating structures in cellular automata

    Publication Year: 1997, Page(s):165 - 178
    Cited by:  Papers (32)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB)

    Previous computational models of self-replication using cellular automata (CA) have been manually designed, a difficult and time-consuming process. We show here how genetic algorithms can be applied to automatically discover rules governing self-replicating structures. The main difficulty in this problem lies in the choice of the fitness evaluation technique. The solution we present is based on a ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.

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