By Topic

IEEE Transactions on Evolutionary Computation

Issue 2 • Date April 2011

Filter Results

Displaying Results 1 - 15 of 15
  • Table of contents

    Publication Year: 2011, Page(s): C1
    Request permission for commercial reuse | PDF file iconPDF (35 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
  • Efficient Hybrid-Game Strategies Coupled to Evolutionary Algorithms for Robust Multidisciplinary Design Optimization in Aerospace Engineering

    Publication Year: 2011, Page(s):133 - 150
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3856 KB) | HTML iconHTML

    A number of game strategies have been developed in past decades and used in the fields of economics, engineering, computer science, and biology due to their efficiency in solving design optimization problems. In addition, research in multiobjective and multidisciplinary design optimization has focused on developing a robust and efficient optimization method so it can produce a set of high quality ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem

    Publication Year: 2011, Page(s):151 - 165
    Cited by:  Papers (54)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1018 KB) | HTML iconHTML

    The capacitated arc routing problem (CARP) is a challenging combinatorial optimization problem with many real-world applications, e.g., salting route optimization and fleet management. There have been many attempts at solving CARP using heuristic and meta-heuristic approaches, including evolutionary algorithms. However, almost all such attempts formulate CARP as a single-objective problem although... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Flight of the FINCH Through the Java Wilderness

    Publication Year: 2011, Page(s):166 - 182
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2290 KB) | HTML iconHTML

    We describe Fertile Darwinian Bytecode Harvester (FINCH), a methodology for evolving Java bytecode, enabling the evolution of extant, unrestricted Java programs, or programs in other languages that compile to Java bytecode. Our approach is based upon the notion of compatible crossover, which produces correct programs by performing operand stack-based, local variables-based, and control flow-based ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Diversity Management in Evolutionary Many-Objective Optimization

    Publication Year: 2011, Page(s):183 - 195
    Cited by:  Papers (52)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (884 KB) | HTML iconHTML

    In evolutionary multiobjective optimization, the task of the optimizer is to obtain an accurate and useful approximation of the true Pareto-optimal front. Proximity to the front and diversity of solutions within the approximation set are important requirements. Most established multiobjective evolutionary algorithms (MOEAs) have mechanisms that address these requirements. However, in many-objectiv... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Systematic Initialization Techniques for Hybrid Evolutionary Algorithms for Solving Two-Stage Stochastic Mixed-Integer Programs

    Publication Year: 2011, Page(s):196 - 214
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1488 KB) | HTML iconHTML

    This paper introduces new initialization approaches for evolutionary algorithms that solve two-stage stochastic mixed-integer problems. The two-stage stochastic mixed-integer programs are handled by a stage decomposition based hybrid algorithm where an evolutionary algorithm handles the first-stage decisions and mathematical programming handles the second-stage decisions. The population of the evo... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Autonomous Virulence Adaptation Improves Coevolutionary Optimization

    Publication Year: 2011, Page(s):215 - 229
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1039 KB) | HTML iconHTML

    A novel approach for the autonomous virulence adaptation (AVA) of competing populations in a coevolutionary optimization framework is presented. Previous work has demonstrated that setting an appropriate virulence, v, of populations accelerates coevolutionary optimization by avoiding detrimental periods of disengagement. However, since the likelihood of disengagement varies both between systems an... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Toward an Evolutionary Computing Modeling Language

    Publication Year: 2011, Page(s):230 - 247
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1808 KB) | HTML iconHTML

    The importance of domain knowledge in the design of effective evolutionary algorithms (EAs) is widely acknowledged in the meta-heuristics community. In the last few decades, a plethora of EAs has been manually designed by domain experts for solving domain-specific problems. Specialization has been achieved mainly by embedding available domain knowledge into the algorithms. Although programming lib... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Theoretical Analysis of Phenotypic Diversity in Real-Valued Evolutionary Algorithms With More-Than-One-Element Replacement

    Publication Year: 2011, Page(s):248 - 266
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2653 KB) | HTML iconHTML

    This paper investigates the evolutionary dynamics of steady-state real-valued evolutionary algorithms (RVEAs) with more-than-one-element replacement theoretically, whereas most theoretical studies of RVEAs have considered single-or all-element replacement. The subject RVEAs are of interest because they appear in various fashions, such as real-coded genetic algorithms (RCGAs) and island RVEAs. The ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An Inflationary Differential Evolution Algorithm for Space Trajectory Optimization

    Publication Year: 2011, Page(s):267 - 281
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1467 KB) | HTML iconHTML

    In this paper, we define a discrete dynamical system that governs the evolution of a population of agents. From the dynamical system, a variant of differential evolution (DE) is derived. It is then demonstrated that, under some assumptions on the differential mutation strategy and on the local structure of the objective function, the proposed dynamical system has fixed points toward which it conve... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Explore IEL IEEE's most comprehensive resource [advertisement]

    Publication Year: 2011, Page(s): 282
    Request permission for commercial reuse | PDF file iconPDF (345 KB)
    Freely Available from IEEE
  • 2011 IEEE membership form

    Publication Year: 2011, Page(s):283 - 284
    Request permission for commercial reuse | PDF file iconPDF (1361 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