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Titlebook: Agent-Based Evolutionary Search; Ruhul Amin Sarker,Tapabrata Ray Book 2010 Springer-Verlag Berlin Heidelberg 2010 agents.algorithm.algorit

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發(fā)表于 2025-3-21 17:34:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Agent-Based Evolutionary Search
影響因子2023Ruhul Amin Sarker,Tapabrata Ray
視頻videohttp://file.papertrans.cn/152/151142/151142.mp4
發(fā)行地址State-of-the art in theory and practice of Agent Based Evolutionary Search.Includes novel frameworks and real-world applications of Agent Based Evolutionary Search.Written by leading experts in this f
學(xué)科分類Adaptation, Learning, and Optimization
圖書封面Titlebook: Agent-Based Evolutionary Search;  Ruhul Amin Sarker,Tapabrata Ray Book 2010 Springer-Verlag Berlin Heidelberg 2010 agents.algorithm.algorit
影響因子Agent based evolutionary search is an emerging paradigm in computational int- ligence offering the potential to conceptualize and solve a variety of complex problems such as currency trading, production planning, disaster response m- agement, business process management etc. There has been a significant growth in the number of publications related to the development and applications of agent based systems in recent years which has prompted special issues of journals and dedicated sessions in premier conferences. The notion of an agent with its ability to sense, learn and act autonomously - lows the development of a plethora of efficient algorithms to deal with complex problems. This notion of an agent differs significantly from a restrictive definition of a solution in an evolutionary algorithm and opens up the possibility to model and capture emergent behavior of complex systems through a natural age- oriented decomposition of the problem space. While this flexibility of represen- tion offered by agent based systems is widely acknowledged, they need to be - signed for specific purposes capturing the right level of details and description. This edited volume is aimed to provide the
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Ruhul Amin Sarker,Tapabrata RayState-of-the art in theory and practice of Agent Based Evolutionary Search.Includes novel frameworks and real-world applications of Agent Based Evolutionary Search.Written by leading experts in this f
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Adaptation, Learning, and Optimizationhttp://image.papertrans.cn/a/image/151142.jpg
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https://doi.org/10.1007/978-3-642-13425-8agents; algorithm; algorithms; architecture; calculus; communication; control; evolution; evolutionary algor
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978-3-642-26368-2Springer-Verlag Berlin Heidelberg 2010
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Provable Security of?, Structuree which combines an agent system with an evolutionary algorithm. In this chapter, we provide an introduction to an evolutionary algorithm and an agent based system which leads to the foundation of the agent based evolutionary algorithm. The strengths and weaknesses of these algorithms are analyzed.
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https://doi.org/10.1007/978-3-030-00434-7s. The existence of equality constraints reduces the size of the feasible space, which makes it difficult to locate feasible and optimal solutions. This paper shows the enhanced performance of an agent-based evolutionary algorithm in solving Constrained Optimization Problems (COPs) with equality con
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Cryptology and Network Securitybility in solving large scale problems, ranging from online trading, disaster response to financial investment planning. In order to solve these problems, a great variety of intelligent techniques have been developed to improve the framework and efficiency of AES. This chapter investigates an AES al
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