一种能够在明确问题状态空间中应用局部搜索策略的智能体程序

Thayanne França, R. J. F. Junior, J. H. A. Pereira, F. R. V. Silveira, Lídio Mauro Lima de Campos, T. P. D. Araujo, Gustavo Campos
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引用次数: 0

摘要

用于解决定义明确的问题的经典智能体模型在文献中被广泛使用,但仅限于为了找到解决方案而采用的系统搜索策略。然而,这些策略并不适合所有类型的应用程序。这项工作提出了一种适用于局部搜索策略的经典代理模型。以一个神经网络自动设计的智能体系统为例,验证了该方法的可行性。结果是有希望的,因为该模型为所提出的问题找到了满意的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Agent Program Capable of Applying Local Search Strategies in the State Space of Well Defined Problems
Classical models of agents for solving well-defined problems are widely used in the literature but are limited to systematic search strategies in order to find the solutions. However, these strategies are not suited for all types of application. This work presents an adaption of classical models of agents for local search strategies. One agent system for neural network automatic design is used to show the feasibility of the proposal. The results are promising, since the model found satisfactory solutions for the proposed problems.
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