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所在平台: Udemy |
课程主页: https://www.udemy.com/course/matlab-basics-and-particle-swarm-optimization-algorithm/
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课程名称：粒子群优化算法（MATLAB实现） 课程概述：本课程专为所有工程学科的B. Tech. 和 M. Tech/MS学生而设计。各工程专业的学生均可以参加本课程，并将所学知识应用于解决各自领域的优化问题，作为迷你项目或顶点项目。此外，本课程对不同工程专业的博士生也有帮助。无论参与者的编程知识如何，所有人均可参加本课程。课程伊始教授MATLAB编程基础，并从零开始讲解优化算法的概念。课程内容经过精心组织，使学习者能够从基础了解到工程优化，并解决研究问题，以期在国际知名期刊上发表成果。课程末尾还包含一个指导项目，确保学生能够将知识应用于实际的工程优化问题，对全球各大学的学生均有帮助。 课程分为四个部分： 第一部分 - MATLAB编程基础 第二部分 - 优化概念与粒子群优化（PSO）算法 第三部分 - 用MATLAB实现PSO算法以解决基准函数 第四部分 - 用MATLAB实现PSO算法以解决典型工程优化问题
This course is specifically developed for B. Tech. and M. Tech/MS students of all Engineering disciplines. Engineering students from all branches can take this course and apply the knowledge to solve optimization problems in their field as part of a mini-project or capstone project. In addition to this, the course is also useful to Ph. D. students of different engineering branches. This course can be taken by everyone irrespective of their programming knowledge. The basics of MATLAB programming is taught in the beginning of the course and the concept of optimization algorithms is also explained from the scratch. The content is so organized that the learner should be able to understand Engineering optimization from scratch and solve research problems leading to publication in an international journal of high repute. A guided project is also included at the end of the course to make sure students can apply the knowledge to real engineering optimization problems. It should be useful to students of all universities around the world.This course is divided into FOUR PartsPart I - Basics of MATLAB ProgrammingPart 2 - Concept of Optimization and Particle Swarm Optimization (PSO) algorithmPart 3 - MATLAB Implementation of PSO algorithm to solve benchmark functionsPart 4 - MATLAB Implementation of PSO Algorithm to solve a typical Engineering optimization Problem
