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Evolutionary Computation, IEEE Transactions on

Issue 1 • Date Feb. 2008

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Displaying Results 1 - 14 of 14
  • Table of contents

    Publication Year: 2008, Page(s): C1
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  • IEEE Transactions on Evolutionary Computation publication information

    Publication Year: 2008, Page(s): C2
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  • An Artificial Immune System Heuristic for Generating Short Addition Chains

    Publication Year: 2008, Page(s):1 - 24
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1216 KB) | HTML iconHTML

    This paper deals with the optimal computation of finite field exponentiation, which is a well-studied problem with many important applications in the areas of error-correcting codes and cryptography. It has been shown that the optimal computation of finite field exponentiation is a problem which is closely related to finding a suitable addition chain with the shortest possible length. However, it ... View full abstract»

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  • Applying a Traffic Lights Evolutionary Optimization Technique to a Real Case: “Las Ramblas” Area in Santa Cruz de Tenerife

    Publication Year: 2008, Page(s):25 - 40
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4408 KB) | HTML iconHTML

    In previous research, we have designed and successfully tested a traffic light cycles evolutionary optimization architecture. In this paper, we attempt to validate those results with a real-world test case. For a wide area in Santa Cruz de Tenerife city - Canary islands - we have improved traffic behavior, using our optimized traffic light cycle times in a simulated environment. Throughout this pa... View full abstract»

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  • RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm

    Publication Year: 2008, Page(s):41 - 63
    Cited by:  Papers (85)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1870 KB) | HTML iconHTML

    Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is a piecewise continuous (m - 1)-D manifold, where m is the number of objectives. Based on this regularity property, we propose a regularity model-based multiobjective estimation of distribution algorithm (RM-MEDA) for conti... View full abstract»

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  • Opposition-Based Differential Evolution

    Publication Year: 2008, Page(s):64 - 79
    Cited by:  Papers (219)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1576 KB) | HTML iconHTML

    Evolutionary algorithms (EAs) are well-known optimization approaches to deal with nonlinear and complex problems. However, these population-based algorithms are computationally expensive due to the slow nature of the evolutionary process. This paper presents a novel algorithm to accelerate the differential evolution (DE). The proposed opposition-based DE (ODE) employs opposition-based learning (OB... View full abstract»

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  • An Adaptive Tradeoff Model for Constrained Evolutionary Optimization

    Publication Year: 2008, Page(s):80 - 92
    Cited by:  Papers (63)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (973 KB) | HTML iconHTML

    In this paper, an adaptive tradeoff model (ATM) is proposed for constrained evolutionary optimization. In this model, three main issues are considered: (1) the evaluation of infeasible solutions when the population contains only infeasible individuals; (2) balancing feasible and infeasible solutions when the population consists of a combination of feasible and infeasible individuals; and (3) the s... View full abstract»

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  • Evolving Output Codes for Multiclass Problems

    Publication Year: 2008, Page(s):93 - 106
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (882 KB) | HTML iconHTML

    In this paper, we propose an evolutionary approach to the design of output codes for multiclass pattern recognition problems. This approach has the advantage of taking into account the different aspects that are relevant for a code matrix to achieve a good performance. We define a fitness function made up of five terms that refer to overall classifier accuracy, binary classifiers' accuracy, classi... View full abstract»

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  • Accelerating Differential Evolution Using an Adaptive Local Search

    Publication Year: 2008, Page(s):107 - 125
    Cited by:  Papers (147)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1873 KB) | HTML iconHTML

    We propose a crossover-based adaptive local search (LS) operation for enhancing the performance of standard differential evolution (DE) algorithm. Incorporating LS heuristics is often very useful in designing an effective evolutionary algorithm for global optimization. However, determining a single LS length that can serve for a wide range of problems is a critical issue. We present a LS technique... View full abstract»

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  • IEEE Symposium on Computational Intelligence and Games

    Publication Year: 2008, Page(s): 126
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  • Put your technology leadership in writing [advertisement]

    Publication Year: 2008, Page(s): 127
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  • Order form for reprints

    Publication Year: 2008, Page(s): 128
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2008, Page(s): C3
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  • IEEE Transactions on Evolutionary Computation Information for authors

    Publication Year: 2008, 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.
 

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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