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The Influence of Fitness Function on Quality of Neuro-Controllers Produced with Assembler Encoding

机译:适应度函数对汇编编码产生的神经控制器质量的影响

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摘要

Assembler Encoding is a neuro-evolutionary method in which neural networks are represented in the form of evolutionary created programs. Each program consists of operations and data evolving in many separate populations. To enable the evolution to produce effective programs and in consequence neural networks, operations and data from each population have to be reliably evaluated. The paper presents and compares several methods that can be used for that purpose. The comparative tests were carried out on the predator-prey problem.
机译:汇编程序编码是一种神经进化方法,其中以进化创建的程序的形式表示神经网络。每个程序都包括在许多不同人群中发展的操作和数据。为了使进化过程能够产生有效的程序,进而产生神经网络,必须可靠地评估每个群体的操作和数据。本文介绍并比较了可用于该目的的几种方法。对捕食者-被捕者问题进行了比较测试。

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