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Abstract
En 中文
Learning and evolution ai-e two fundamental forms of adaptation. There has been a gl-eat interest in combining learning and evolution with artificial neural networks (ANN's) in recent years. This paper: I) reviews reviews ent combinations between ANN's and evolutionary algorithms (EA's), including using EA's to evolve ANN connection weights, architectures, learning rules, and input features; 2) discusses different search operators which have been used in various EA's; and 3) points out possible future research directions. it is shown, through a considerably large literature review, that combinations between ANN's and EA's can lead to significantly better intelligent systems than relying on ANN's or EA's alone.
Keywords:
evolutionary computation
intelligent systems
neural networks
Journal
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25.9
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9.9K
Citations:
4.5W
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