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所在平台: Udemy |
课程主页: https://www.udemy.com/course/genetic-algorithm/
课程评论：没有评论
课程名称：使用遗传算法的优化：MATLAB编程 课程概述：在过去的三十年里，遗传算法领域受到了快速增长的关注。您是否曾想过特定的理论是如何激励某一发明的？遗传算法就是这样的一个例子，它受到达尔文“适者生存”理论的启发，属于进化算法的一部分。遗传算法通过依赖于生物启发的操作，如变异、交叉和选择，来生成高质量的优化和搜索问题的解决方案。该算法可以广泛应用于机器学习、数据科学、神经网络和深度学习等不同领域。 本课程将教您如何在MATLAB环境中实现基于遗传算法的优化，着重使用全局优化工具箱。课程将解决各种优化问题。完成本课程后，您将能够实施和利用遗传算法来解决您的优化问题。课程中提供的完整MATLAB程序也可供下载。该课程旨在简单明了地帮助您高效利用时间，抓住学习和理解快速发展的进化计算领域的机会。 祝您学习愉快！
There has been a rapidly growing interest in a field called Genetic Algorithms during the last thirty years. Have you ever wondered how specific theories greatly inspire a particular invention?. The same goes with Genetic Algorithms. All of us would have heard of the famous view of Charles Darwin, "Survival of the fittest", which extends to Evolution by Natural Selection. Inspired by Darwin's theory, the Genetic Algorithm is a part of Evolutionary Algorithms, specifically to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover, and selection. The Genetic Algorithm can be easily applied to different applications, including Machine Learning, Data Science, Neural Networks, and Deep Learning.This course will teach you to implement genetic algorithm-based optimization in the MATLAB environment, focusing on using the Global Optimization Toolbox. Various kinds of optimization problems are solved in this course. At the end of this course, you will implement and utilize genetic algorithms to solve your optimization problems. The complete MATLAB programs included in the class are also available for download. This course is designed most straightforwardly to utilize your time wisely. Take advantage of learning and understanding the fast-growing field of evolutionary computation.Happy learning.
