在使用进化计算中扩大视角

J. Falqueto, J. Barreto, Paulo Sergio da Silva Borges
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引用次数: 2

摘要

最初,基于受自然启发的模型的计算机科学研究的不同领域进行了探讨。“进化计算”这一领域是在一般情况下讨论的。在此之后,重点放在人类倾向于复制和通过采用已经被自然解决的其他等效问题的类似解决方案来寻找新问题的答案。最后,我们证明,在进化计算的情况下,即使在许多情况下取得了成功,自然界所获得的大部分东西在模拟过程中要么被严重简化,要么被截断。此外,在一些情况下,对于已经存在的系统或新的系统,更详细和更忠实的副本可以产生更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Amplification of perspectives in the use of evolutionary computation
Initially, different areas of research in computer science based on models inspired by nature are approached. The area entitled "evolutionary computation" is discussed in a general view. After this, emphasis is placed on the human tendency to copy and to find answers to new problems by adopting similar solutions from other equivalent issues that have already been resolved by nature. Finally, we demonstrate that, in the case of evolutionary computation, even if success is achieved in many cases, most of what nature has attained was either severely simplified or truncated in the simulation process. Also, in several cases, a more detailed and more faithful copy could have yielded better results for already-existing systems or for new ones.
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