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Evolutionary Computation, IEEE Transactions on

Issue 6 • Date Dec. 2007

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Displaying Results 1 - 15 of 15
  • Table of contents

    Publication Year: 2007 , Page(s): C1
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  • IEEE Transactions on Evolutionary Computation publication information

    Publication Year: 2007 , Page(s): C2
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  • Multiple Choices and Reputation in Multiagent Interactions

    Publication Year: 2007 , Page(s): 689 - 711
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1486 KB) |  | HTML iconHTML  

    Coevolutionary learning provides a framework for modeling more realistic iterated prisoner's dilemma (IPD) interactions and to study conditions of how and why certain behaviors (e.g., cooperation) in a complex environment can be learned through an adaptation process guided by strategic interactions. The coevolutionary learning of cooperative behaviors can be attributed to the mechanism of direct r... View full abstract»

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  • MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

    Publication Year: 2007 , Page(s): 712 - 731
    Cited by:  Papers (328)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1591 KB) |  | HTML iconHTML  

    Decomposition is a basic strategy in traditional multiobjective optimization. However, it has not yet been widely used in multiobjective evolutionary optimization. This paper proposes a multiobjective evolutionary algorithm based on decomposition (MOEA/D). It decomposes a multiobjective optimization problem into a number of scalar optimization subproblems and optimizes them simultaneously. Each su... View full abstract»

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  • On the Invariance of Ant Colony Optimization

    Publication Year: 2007 , Page(s): 732 - 742
    Cited by:  Papers (18)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (528 KB) |  | HTML iconHTML  

    Ant colony optimization (ACO) is a promising metaheuristic and a great amount of research has been devoted to its empirical and theoretical analysis. Recently, with the introduction of the hypercube framework, Blum and Dorigo have explicitly raised the issue of the invariance of ACO algorithms to transformation of units. They state (Blum and Dorigo, 2004) that the performance of ACO depends on the... View full abstract»

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  • Properties of Symmetric Fitness Functions

    Publication Year: 2007 , Page(s): 743 - 757
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (649 KB) |  | HTML iconHTML  

    The properties of symmetric fitness functions are investigated. We show that the search spaces obtained from symmetric functions have the zero-correlation structures between fitness and distance. It is also proven that symmetric functions induce a class of the hardest problems in terms of the epistasis variance and its variants. These analyses suggest that the existing quantitative measures cannot... View full abstract»

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  • Evolving Compositionality in Evolutionary Language Games

    Publication Year: 2007 , Page(s): 758 - 769
    Cited by:  Papers (18)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (405 KB) |  | HTML iconHTML  

    Evolutionary language games have proved a useful tool to study the evolution of communication codes in communities of agents that interact among themselves by transmitting and interpreting a fixed repertoire of signals. Most studies have focused on the emergence of Saussurean codes (i.e., codes characterized by an arbitrary one-to-one correspondence between meanings and signals). In this contribut... View full abstract»

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  • On the Evolutionary Optimization of Many Conflicting Objectives

    Publication Year: 2007 , Page(s): 770 - 784
    Cited by:  Papers (46)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1200 KB) |  | HTML iconHTML  

    This study explores the utility of multiobjective evolutionary algorithms (using standard Pareto ranking and diversity-promoting selection mechanisms) for solving optimization tasks with many conflicting objectives. Optimizer behavior is assessed for a grid of mutation and recombination operator configurations. Performance maps are obtained for the dual aims of proximity to, and distribution acros... View full abstract»

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  • Acknowledgment to Reviewers

    Publication Year: 2007 , Page(s): 785 - 787
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  • Special issue on swarm intelligence

    Publication Year: 2007 , Page(s): 788
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  • Pre-submission professional editing services now available

    Publication Year: 2007 , Page(s): 789
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  • Put your technology leadership in writing [advertisement]

    Publication Year: 2007 , Page(s): 790
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  • 2007 Index IEEE Transactions on Evolutionary Computation Vol. 11

    Publication Year: 2007 , Page(s): 791 - 796
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2007 , Page(s): C3
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  • IEEE Transactions on Evolutionary Computation Information for authors

    Publication Year: 2007 , 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