Engineering Optimization (工程优化)

Course information

• Course name: Engineering Optimization
• Course ID: 074090.01
• Location: 环_301(Wednesday); 化_106(Friday)
• Lectures: 10:10-11:50 (Wednesday, odd week); 14:00-15:40 (Friday, every week);
• Instructor: Yanjie Zhou
• Email: ieyjzhou@zzu.edu.cn
• TA: Yaohui Li 李耀辉 (Email:zgyhli@163.com), Zehao Qian 钱泽昊 (Email:QianZeHao123@outlook.com)

Prerequisites

• Calculus I and II
• Linear algebra
• Operation research
• Data structure
• Programming language (familiar with one programming language): C/C++; Python; Java; Matlab; Julia

Coursework

• Homework (50%)
• Final project (50%)

Introduction

The course is designed for undergraduate (graduate) students from Zhengzhou University to provide a view of optimization methods for solving engineering problems. Students with a background in industrial engineering, logistics management, computer science, mechanical engineering, electrical engineering, etc., are welcome to join this course. This course covers exact algorithms and meta-heuristics for solving linear programming, integer programming, nonlinear programming, multiple objective optimization, bi-level programming, and robust optimization. The source code of branch and bound, genetic algorithm, neighborhood search heuristic, genetic programming, etc., are provided to help students understand the related theories. Advanced optimization methods for solving the combinatorial optimization problem, such as reinforcement Learning, will also be provided.

Schedule (tentative)

Homework

• Using Python-MIP package to implement the mathematical formulation of the Sudoku game.
  • Mathmatical formulation paper

Teamwork