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IEEE Transactions on Evolutionary Computation

Issue 6 • Dec. 2012

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Displaying Results 1 - 14 of 14
  • Table of contents

    Publication Year: 2012, Page(s): C1
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  • IEEE Transactions on Evolutionary Computation publication information

    Publication Year: 2012, Page(s): C2
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  • The Technology of the Gaps: An Evolvable Hardware Synthesized Oscillator for the Control of a Flapping-Wing Micro Air Vehicle

    Publication Year: 2012, Page(s):753 - 768
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8940 KB) | HTML iconHTML

    To date, work in evolvable and adaptive hardware (EAH) has been largely isolated from primary inclusion into larger design processes. Almost without exception, EAH efforts are aimed at creating systems whole cloth, creating drop-in replacements for existing components of a larger design, or creating after-the-fact fixes for designs found to be deficient. This paper will discuss early efforts in in... View full abstract»

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  • Continuous Dynamic Constrained Optimization—The Challenges

    Publication Year: 2012, Page(s):769 - 786
    Cited by:  Papers (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8046 KB) | HTML iconHTML

    Many real-world dynamic problems have constraints, and in certain cases not only the objective function changes over time, but also the constraints. However, there is no research in answering the question of whether current algorithms work well on continuous dynamic constrained optimization problems (DCOPs), nor is there any benchmark problem that reflects the common characteristics of continuous ... View full abstract»

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  • Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test

    Publication Year: 2012, Page(s):787 - 800
    Cited by:  Papers (14)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6178 KB) | HTML iconHTML

    The design of hybrid metaheuristics with ideas taken from the simulated annealing and evolutionary algorithms fields is a fruitful research line. In this paper, we first present an overview of the hybrid metaheuristics based on simulated annealing and evolutionary algorithms presented in the literature and classify them according to two well-known taxonomies of hybrid methods. Second, we perform a... View full abstract»

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  • An Efficient Resource Allocation Scheme Using Particle Swarm Optimization

    Publication Year: 2012, Page(s):801 - 816
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6501 KB) | HTML iconHTML

    Developing techniques for optimal allocation of limited resources to a set of activities has received increasing attention in recent years. In this paper, an efficient resource allocation scheme based on particle swarm optimization (PSO) is developed. Different from many existing evolutionary algorithms for solving resource allocation problems (RAPs), this PSO algorithm incorporates a novel repres... View full abstract»

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  • Evolving Boolean Networks on Tunable Fitness Landscapes

    Publication Year: 2012, Page(s):817 - 828
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5674 KB) | HTML iconHTML

    This paper presents an abstract, tunable model by which to explore aspects of artificial genetic regulatory networks and their design by simulated evolution. The random Boolean network formalism is combined with the NK and NKCS models of fitness landscapes. This enables the systematic study of the interactions between the underlying genetic machinery and elements of the phenotype pro... View full abstract»

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  • Efficient Forest Data Structure for Evolutionary Algorithms Applied to Network Design

    Publication Year: 2012, Page(s):829 - 846
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (10438 KB) | HTML iconHTML

    The design of a network is a solution to several engineering and science problems. Several network design problems are known to be NP-hard, and population-based metaheuristics like evolutionary algorithms (EAs) have been largely investigated for such problems. Such optimization methods simultaneously generate a large number of potential solutions to investigate the search space in breadth and, con... View full abstract»

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  • An Artificial Immune System for Classification With Local Feature Selection

    Publication Year: 2012, Page(s):847 - 860
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2074 KB) | HTML iconHTML

    A new multiclass classifier based on immune system principles is proposed. The unique feature of this classifier is the embedded property of local feature selection. This method of feature selection was inspired by the binding of an antibody to an antigen, which occurs between amino acid residues forming an epitope and a paratope. Only certain selected residues (so-called energetic residues) take ... View full abstract»

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  • The Automatic Design of Multiobjective Ant Colony Optimization Algorithms

    Publication Year: 2012, Page(s):861 - 875
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6956 KB) | HTML iconHTML

    Multiobjective optimization problems are problems with several, typically conflicting, criteria for evaluating solutions. Without any a priori preference information, the Pareto optimality principle establishes a partial order among solutions, and the output of the algorithm becomes a set of nondominated solutions rather than a single one. Various ant colony optimization (ACO) algorithms have been... View full abstract»

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  • Acknowledgment to reviewers

    Publication Year: 2012, Page(s):876 - 879
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  • Open Access [advertisement]

    Publication Year: 2012, Page(s): 880
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2012, Page(s): C3
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  • IEEE Transactions on Evolutionary Computation information for authors

    Publication Year: 2012, 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