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IEEE Transactions on Evolutionary Computation

Issue 2 • Date April 2013

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Displaying Results 1 - 17 of 17
  • Table of contents

    Publication Year: 2013, Page(s): C1
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  • IEEE Transactions on Evolutionary Computation publication information

    Publication Year: 2013, Page(s): C2
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  • Guest Editorial: Special Issue on Understanding Complex Evolutionary Systems

    Publication Year: 2013, Page(s):153 - 154
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  • Complex Coevolutionary Dynamics—Structural Stability and Finite Population Effects

    Publication Year: 2013, Page(s):155 - 164
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (781 KB) | HTML iconHTML

    Unlike evolutionary dynamics, coevolutionary dynamics can exhibit a wide variety of complex regimes. This has been confirmed by numerical studies, e.g., in the context of evolutionary game theory (EGT) and population dynamics of simple two-strategy games with various types of replication and selection mechanisms. Using the framework of shadowing lemma, we study to what degree can such infinite pop... View full abstract»

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  • Visualizing Mutually Nondominating Solution Sets in Many-Objective Optimization

    Publication Year: 2013, Page(s):165 - 184
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (23136 KB) | HTML iconHTML

    As many-objective optimization algorithms mature, the problem owner is faced with visualizing and understanding a set of mutually nondominating solutions in a high dimensional space. We review existing methods and present new techniques to address this problem. We address a common problem with the well-known heatmap visualization, since the often arbitrary ordering of rows and columns renders the ... View full abstract»

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  • Evolved Features for DNA Sequence Classification and Their Fitness Landscapes

    Publication Year: 2013, Page(s):185 - 197
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6062 KB) | HTML iconHTML

    A key problem in genomics is the classification and annotation of sequences in a genome. A major challenge is identifying good sequence features. Evolutionary algorithms have the potential to search a large space of features and automatically generate useful ones. This paper proposes a two-stage method that generates features using multiple replicates of a genetic algorithm operating on an augment... View full abstract»

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  • Fitness Landscapes of Evolved Apoptotic Cellular Automata

    Publication Year: 2013, Page(s):198 - 212
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (19951 KB) | HTML iconHTML

    This paper examines the fitness landscape for evolutionary algorithms evolving cellular automata (CA) rules to satisfy an apoptotic fitness function. This fitness function requires the automata to grow as rapidly as possible and to die out by a fixed time step. The apoptotic CA yielded rules that are extremely robust to variation, while utilizing the majority of available positions in the updating... View full abstract»

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  • Coevolving Game-Playing Agents: Measuring Performance and Intransitivities

    Publication Year: 2013, Page(s):213 - 226
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6438 KB) | HTML iconHTML

    Coevolution is a natural choice for learning in problem domains where one agent's behavior is directly related to the behavior of other agents. However, there is a known tendency for coevolution to produce mediocre solutions. One of the main reasons for this is cycling, caused by intransitivities among a set of players. In this paper, we explore the link between coevolution and games, and revisit ... View full abstract»

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  • Agent-Case Embeddings for the Analysis of Evolved Systems

    Publication Year: 2013, Page(s):227 - 240
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (8702 KB) | HTML iconHTML

    This paper introduces agent-case embeddings, a general purpose tool for detecting a variety of solutions produced by an evolutionary algorithm. They can also be used to explore the geometry of the space of problems that agents attempt to solve. Agent-case embeddings permit the comparison of solutions evolved with different representations by directly comparing phenotypes. Use of agent-case embeddi... View full abstract»

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  • Particle Swarm Optimization With an Aging Leader and Challengers

    Publication Year: 2013, Page(s):241 - 258
    Cited by:  Papers (30)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7735 KB) | HTML iconHTML

    In nature, almost every organism ages and has a limited lifespan. Aging has been explored by biologists to be an important mechanism for maintaining diversity. In a social animal colony, aging makes the old leader of the colony become weak, providing opportunities for the other individuals to challenge the leadership position. Inspired by this natural phenomenon, this paper transplants the aging m... View full abstract»

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  • Experimental Analysis of Bound Handling Techniques in Particle Swarm Optimization

    Publication Year: 2013, Page(s):259 - 271
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4186 KB) | HTML iconHTML

    Many practical optimization problems are constrained and have a bounded search space. In this paper, we propose and compare a wide variety of bound handling techniques for particle swarm optimization. By examining their performance on flat landscapes, we show that many bound handling techniques introduce significant search bias. Furthermore, we compare the performance of many bound handling techni... View full abstract»

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  • FPGA Implementation of an Evolutionary Algorithm for Autonomous Unmanned Aerial Vehicle On-Board Path Planning

    Publication Year: 2013, Page(s):272 - 281
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3974 KB) | HTML iconHTML

    In this paper, a hardware-based path planning architecture for unmanned aerial vehicle (UAV) adaptation is proposed. The architecture aims to provide UAVs with higher autonomy using an application-specific evolutionary algorithm (EA) implemented entirely on a field-programmable gate array (FPGA) chip. The physical attributes of an FPGA chip, being compact in size and low in power consumption, make... View full abstract»

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  • Evolving Team Compositions by Agent Swapping

    Publication Year: 2013, Page(s):282 - 298
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (9688 KB) | HTML iconHTML

    Optimizing collective behavior in multiagent systems requires algorithms to find not only appropriate individual behaviors but also a suitable composition of agents within a team. Over the last two decades, evolutionary methods have emerged as a promising approach for the design of agents and their compositions into teams. The choice of a crossover operator that facilitates the evolution of optima... View full abstract»

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  • IEEE Xplore Digital Library

    Publication Year: 2013, Page(s): 299
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  • IEEE Member Digital Library

    Publication Year: 2013, Page(s): 300
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  • IEEE Computational Intelligence Society Information

    Publication Year: 2013, Page(s): C3
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  • IEEE Transactions on Evolutionary Computation information for authors

    Publication Year: 2013, 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