Genetic Algorithms, a Nature-Inspired Tool: Survey of Applications in Materials Science and Related Fields

Genetic Algorithms, a Nature-Inspired Tool: Survey of Applications in Materials Science and Related Fields
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DOI:
10.1080/10426910802612270
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发表时间:
2009-01-01
影响因子:
4.8
通讯作者:
Paszkowicz, Wojciech
Paszkowicz, Wojciech
中科院分区:
材料科学2区
文献类型:
--
作者:
Paszkowicz, Wojciech

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遗传算法(GA)是一种用于解决高复杂性计算问题的工具。除了对自然界发生的现象进行建模之外,它们还有助于科学、医学、技术和日常生活中的优化、模拟、建模、设计和预测。它们可以适应给定的任务,与其他任务结合(这导致组合或混合方法),并且可以在许多处理器上并行工作。文献中报道的 GA 的使用代表了各种各样的方法,并导致了许​​多高复杂性计算问题的解决。在材料科学和相关科学技术领域,GA 为材料设计、其性能研究或工业规模生产提供了可能性。本文回顾了遗传算法在材料科学、固体物理和化学、晶体学、生物学和工程学等各个领域的最新应用。所列出的例子取自最近的文献,显示了这些方法的使用有多么广泛。强调对特定结果的描述是为了引导读者关注有价值的新应用以及解决特定任务的有趣或有前途的方法。简要讨论了方法开发和应用领域扩展的趋势以及一些可能的未来影响。
Genetic algorithms (GAs) are a tool used to solve high-complexity computational problems. Apart from modelling the phenomena occurring in Nature, they help in optimization, simulation, modelling, design and prediction purposes in science, medicine, technology, and everyday life. They can be adapted to the given task, be joined with other ones (this leads to combined or hybrid methods), and can work in parallel on many processors. The uses of GAs reported in literature represent a wide variety of approaches and led to solving of numerous computational problems of high complexity. In materials science and related fields of science and technology the GAs open possibilities for materials design, studies of their properties, or production at industrial scale. Here, the recent use of GAs in various domains connected to materials science, solid state physics and chemistry, crystallography, biology, and engineering is reviewed. The listed examples taken from recent literature show how broad the use of these methods is. Emphasis on description of particular results is put in order to direct the reader's attention to valuable new applications as well as interesting or promising ways of solving specific tasks. Trends in method development and application-field extensions as well as some possible future implications are briefly discussed.