By Topic

IEEE Transactions on Evolutionary Computation

Issue 1 • Date Feb. 2011

Filter Results

Displaying Results 1 - 14 of 14
  • Table of contents

    Publication Year: 2011, Page(s): C1
    Request permission for commercial reuse | PDF file iconPDF (38 KB)
    Freely Available from IEEE
  • IEEE Transactions on Evolutionary Computation publication information

    Publication Year: 2011, Page(s): C2
    Request permission for commercial reuse | PDF file iconPDF (38 KB)
    Freely Available from IEEE
  • Guest Editorial Special Issue on Differential Evolution

    Publication Year: 2011, Page(s):1 - 3
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (322 KB) | HTML iconHTML

    The six papers in this special issue are representative of the current research trends in differential evolution. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Differential Evolution: A Survey of the State-of-the-Art

    Publication Year: 2011, Page(s):4 - 31
    Cited by:  Papers (1014)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (872 KB) | HTML iconHTML

    Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms in current use. DE operates through similar computational steps as employed by a standard evolutionary algorithm (EA). However, unlike traditional EAs, the DE-variants perturb the current-generation population members with the scaled differences of randomly selected and distinct popul... View full abstract»

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

    Publication Year: 2011, Page(s):32 - 54
    Cited by:  Papers (81)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2225 KB) | HTML iconHTML

    This paper proposes the compact differential evolution (cDE) algorithm. cDE, like other compact evolutionary algorithms, does not process a population of solutions but its statistic description which evolves similarly to all the evolutionary algorithms. In addition, cDE employs the mutation and crossover typical of differential evolution (DE) thus reproducing its search logic. Unlike other compact... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters

    Publication Year: 2011, Page(s):55 - 66
    Cited by:  Papers (273)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1216 KB) | HTML iconHTML

    Trial vector generation strategies and control parameters have a significant influence on the performance of differential evolution (DE). This paper studies whether the performance of DE can be improved by combining several effective trial vector generation strategies with some suitable control parameter settings. A novel method, called composite DE (CoDE), has been proposed in this paper. This me... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Improving Classical and Decentralized Differential Evolution With New Mutation Operator and Population Topologies

    Publication Year: 2011, Page(s):67 - 98
    Cited by:  Papers (55)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3054 KB) | HTML iconHTML

    Differential evolution (DE) algorithms compose an efficient type of evolutionary algorithm (EA) for the global optimization domain. Although it is well known that the population structure has a major influence on the behavior of EAs, there are few works studying its effect in DE algorithms. In this paper, we propose and analyze several DE variants using different panmictic and decentralized popula... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators

    Publication Year: 2011, Page(s):99 - 119
    Cited by:  Papers (109)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2353 KB) | HTML iconHTML

    Differential evolution is a very popular optimization algorithm and considerable research has been devoted to the development of efficient search operators. Motivated by the different manner in which various search operators behave, we propose a novel framework based on the proximity characteristics among the individual solutions as they evolve. Our framework incorporates information of neighborin... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fixed-Structure H_{\infty } Controller Synthesis Based on Differential Evolution With Level Comparison

    Publication Year: 2011, Page(s):120 - 129
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (830 KB) | HTML iconHTML

    In this paper, the design of the fixed-structure robust controllers satisfying multiple H performance criteria is formulated as a non-convex multidimensional constrained optimization problem. An effective differential evolution with level comparison (DELC) is proposed, which applies differential evolution for global searching and employs level comparison for constraint handling.... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • The big EC 2011 IEEE congress on evolutionary computation

    Publication Year: 2011, Page(s): 130
    Request permission for commercial reuse | PDF file iconPDF (1345 KB)
    Freely Available from IEEE
  • Special issue on evolutionary computation in scheduling

    Publication Year: 2011, Page(s): 131
    Request permission for commercial reuse | PDF file iconPDF (177 KB)
    Freely Available from IEEE
  • Have you visited lately? www.ieee.org [advertisement]

    Publication Year: 2011, Page(s): 132
    Request permission for commercial reuse | PDF file iconPDF (225 KB)
    Freely Available from IEEE
  • IEEE Computational Intelligence Society Information

    Publication Year: 2011, Page(s): C3
    Request permission for commercial reuse | PDF file iconPDF (37 KB)
    Freely Available from IEEE
  • IEEE Transactions on Evolutionary Computation Information for authors

    Publication Year: 2011, Page(s): C4
    Request permission for commercial reuse | PDF file iconPDF (31 KB)
    Freely Available from IEEE

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