遗传算法参数整定的模糊超启发式框架

2013 12th Mexican International Conference on Artificial Intelligence Pub Date : 2013-11-24 DOI:10.1109/MICAI.2013.48

Fernando Gudiño-Peñaloza, M. González-Mendoza, J. Mora-Vargas, N. Hernández-Gress

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引用次数: 3

摘要

采用基于模糊的超启发式系统实现遗传算法的自适应。采用模糊Takagi-Sugeno推理系统作为高级启发式算法，采用遗传算法作为低级启发式算法。该框架允许系统自动调整自身参数，无需人工调整。模糊系统用于处理不确定性，即应该调整哪些参数或以何种比例调整参数。

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Fuzzy Hyperheuristic Framework for GA Parameters Tuning

A fuzzy based hyperheuristic system is used for Genetic Algorithm self adaption. A fuzzy Takagi-Sugeno Inference System is used as High level Heuristic and the GA is used as Low-level heuristic. The framework allows to the system to automatically adjust their own parameters without the need for manual adjustment. The fuzzy system to handle uncertainty about which or in what proportion should adjust the parameters.

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2013 12th Mexican International Conference on Artificial Intelligence

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