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所在平台: Udemy |
课程主页: https://www.udemy.com/course/multi-objective-optimization-using-genetic-algorithm-matlab/
课程评论：没有评论
Coursera 课程摘要：使用遗传算法进行多目标优化：MATLAB 课程概述： 在当今的工业、工程和社会科学等领域，决策者越来越面临需要考虑多个相互冲突的目标。这类问题几乎存在于所有科学、工程和商业领域，对高效可靠的解决方法的需求日益增长。由于多目标优化并非产生单一最优解，而是产生许多在不同标准之间存在权衡的解（即帕累托最优解），因此这项任务极具挑战性。多目标遗传算法是一种引导式随机搜索方法，适用于解决具有多个目标函数和变量的问题。多目标遗传算法的解通过帕累托前沿进行说明。 本课程对于从事研发的学者、工业科学家和工程师来说将非常有价值。您将学习如何在 MATLAB 环境中利用全球优化工具箱实现基于多目标遗传算法的优化。课程中将解决各种类型的优化问题。课程结束后，您将能够运用该算法解决自己的优化问题。课程中包含的完整 MATLAB 程序也可供下载。本课程设计简洁明了，旨在帮助您高效学习，并深入了解快速发展的进化计算领域。 快乐学习。
Decision-makers in many areas, from industry to engineering and the social sector, face an increasing need to consider multiple, conflicting objectives in their decision processes. Such problems can arise in practically every field of science, engineering and business, and the demand for efficient and reliable solution methods is increasing. The task is challenging because, instead of a single optimal solution, multi-objective optimization results in many solutions with different trade-offs among criteria, also known as Pareto optimal solutions. A multi-objective Genetic Algorithm is a guided random search method suitable for solving problems with multiple objective functions and variables. Solutions of the Multi-objective Genetic Algorithm are illustrated using the Pareto fronts. Academics, industrial scientists, engineers engaged in research & development will find this course invaluable.This course will teach you to implement multi-objective genetic algorithm-based optimization in the MATLAB environment using the Global Optimization Toolbox. Various kinds of optimization problems are solved in this course. At the end of this course, you will utilize the algorithm 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.
