如何在实践中成功地应用遗传算法:表示和参数化

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2015-09-01 DOI:10.1109/INISTA.2015.7276778

A. Asteroth, Alexander Hagg

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引用次数: 12

摘要

特别是进化计算和遗传算法(GAs)已经非常成功地应用于许多现实世界的应用问题。然而，应用遗传算法的成功或失败在很大程度上取决于如何表示问题。此外，自由参数的数量使这些方法的应用成为一门科学，这对初学者来说是一个巨大的障碍。本教程将对各种表征方面进行总结，讨论参数化及其对GAs动力学的影响。

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How to successfully apply genetic algorithms in practice: Representation and parametrization

Evolutionary computation and genetic algorithms (GAs) in particular have been applied very successfully to many real world application problems. However, the success or failure of applying Genetic Algorithms is highly dependent on how a problem is represented. Additionally, the number of free parameters makes applying these methods a science of its own, presenting a huge barrier to entry for beginners. This tutorial will give a summary on various representational aspects, discuss parametrization and their influence on the dynamics of GAs.

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2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)

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