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    Evolutionary Multi-Agent Systems: An Adaptive and Dynamic Approach to Optimization 

    Source: Journal of Mechanical Design:;2009:;volume( 131 ):;issue: 001:;page 11010
    Author(s): Lindsay Hanna; Jonathan Cagan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper explores the ability of a virtual team of specialized strategic software agents to cooperate and evolve to adaptively search an optimization design space. Our goal is to demonstrate ...
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    Search Strategies in Evolutionary Multi-Agent Systems: The Effect of Cooperation and Reward on Solution Quality 

    Source: Journal of Mechanical Design:;2011:;volume( 133 ):;issue: 006:;page 61005
    Author(s): Lindsay Hanna Landry; Jonathan Cagan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Cooperation and reward of strategic agents in an evolutionary optimization framework is explored in order to better solve engineering design problems. Agents in this Evolutionary Multi-Agent Systems ...
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    Protocol-Based Multi-Agent Systems: Examining the Effect of Diversity, Dynamism, and Cooperation in Heuristic Optimization Approaches 

    Source: Journal of Mechanical Design:;2011:;volume( 133 ):;issue: 002:;page 21001
    Author(s): Lindsay Hanna Landry; Jonathan Cagan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Many heuristic optimization approaches have been developed to combat the ever-increasing complexity of engineering problems. In general, these approaches can be classified based on the diversity ...
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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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