Welcome to the syllabus for the course ”Combinatorial Optimization and Meta[1]heuristic Algorithms”. This course aims to provide students with a comprehensive understanding of the principles, techniques, and applications of combinatorial optimization and metaheuristic algorithms.
Combinatorial optimization problems (COPs) arise in various real-world scenarios where the goal is to find the best arrangement or combination of elements from a finite set. These problems are often challenging due to their inherent complexity and the exponential growth of possible solutions.
Metaheuristic algorithms offer powerful strategies for solving COPs efficiently. By exploring both single-solution based and population-based metaheuristics, students will learn versatile approaches to address diverse optimization challenges. Furthermore, we will delve into multi-objective optimization, where the goal is to optimize multiple conflicting objectives simultaneously.
Throughout this course, students will not only gain theoretical knowledge but also practical experience through hands-on implementation and analysis of metaheuristics. By the end of the course, students will be equipped with valuable skills to tackle complex COPs and contribute to advancements in various domains.
I hope this syllabus serves as a guide to your learning journey and inspires you to explore the fascinating world of combinatorial optimization and metaheuristics. Best wishes for a rewarding and enriching learning experience!
- Teacher: Abdelkamel BEN ALI