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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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31#
發(fā)表于 2025-3-26 20:59:51 | 只看該作者
Cryptology and Network Securityy of domains: the main argument in favor to . is proper the multidisciplinary character. Besides, . can resolve multiobjective otpimization problems in efficient way, because . naturally incorporates some concepts from . framework.
32#
發(fā)表于 2025-3-27 02:35:46 | 只看該作者
33#
發(fā)表于 2025-3-27 07:50:15 | 只看該作者
Book 2010 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
34#
發(fā)表于 2025-3-27 13:23:02 | 只看該作者
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發(fā)表于 2025-3-27 16:08:24 | 只看該作者
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發(fā)表于 2025-3-27 21:30:51 | 只看該作者
37#
發(fā)表于 2025-3-28 00:59:36 | 只看該作者
38#
發(fā)表于 2025-3-28 02:18:41 | 只看該作者
Complex Emergent Behaviour from Evolutionary Spatial Animat Agents,w the model’s convergence to stable macroscopic behaviour cycles is related to the localized rule parameters.We illustrate how an animat agent population of predators and prey can evolve more effective individuals by applying genetic algorithms to the species rule-sets and how our model framework an
39#
發(fā)表于 2025-3-28 07:25:47 | 只看該作者
Searching for the Effective Bidding Strategy Using Parameter Tuning in Genetic Algorithm,gorithm is employed to search offline for effective strategies in particular class of environment. The strategies that emerge from this evolution are then codified into the agent’s reasoning behaviour so that it can select the most appropriate strategy to employ in its prevailing circumstances. In t
40#
發(fā)表于 2025-3-28 14:22:24 | 只看該作者
Malware Tolerant (Mesh-)NetworksM) is proposed with the intrinsic properties of decomposable functions in mind. In this model, a sub-function forms a macro-agent, and 3 new behaviors, namely competition, cooperation, and selfishness, are developed for macro-agents to optimizing objective functions. Finally, the MacroAEM model is i
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