Combinatorial Problems and Ant Colony Optimization Algorithm

Genre: eLearning Video | Duration: 19 lectures (4 hour, 57 mins) | Language: EnglishLet's learn Artificial Intelligence search methods: optimization, exact algorithms, heuristics, and metaheuristics. https://www.udemy.com/course/antcolonyoptimization/

What you'll learn Formulate combinatorial optimization problems Solve combinatorial optimization problems Develop and use Ant Colony Optimization Solve Travelling Salesman ProblemRequirements Basics coding skills in MatlabDescriptionSearch methods and heuristics are of the most fundamental Artificial Intelligence techniques. One of the most well-regarded of them is Ant Colony Optimization that allows humans to solve some of the most challenging problems in history. This course takes you through the details of this algorithm. The course is helpful to learn the following concepts:Part 1:1. The main components of the2. Formulating combinatorial optimization problems3. Difficulty of combinatorial optimization problems4. State space tree5. Search space6. Travelling Salesman Problem (TSP)Part 2:1. Exact methods2. Heuristics methods3. Brute-force (exhaustive) algorithm to solve combinatorial problems4. Branch and bound algorithm to solve combinatorial problems5. The nearest neighbour to solve the Travelling Salesman ProblemPart 3:1. Inspirations of the Ant Colony Optimization (ACO)2. Mathematical models of the Ant Colony Optimization 3. Implementation of the Ant Colony Optimization 4. Testing and analysing the performance of the Ant Colony Optimization 5. Tuning the parameter of the Ant Colony Optimization Ant Colony Optimization will be the main algorithm, which is a search method that can be easily applied to different applications including Machine Learning, Data Science, Neural Networks, and Deep Learning.Some of the reviews are as follows: Fan said: "Another Wonderful course of Dr Seyedali，I really appreciate it！ I also look forward to more applications and examples of ACO."Ashish said: "This course clears my concept about Ant colony optimization specially with MATLAB and how to apply to our problem. Thank you so much, Sir, for design such a helpful course"Join 100+ students and start your optimization journey with us. If you are in any way not satisfied, for any reason, you can get a full refund from Udemy within 30 days. No questions asked. But I am confident you won't need to. I stand behind this course 100% and am committed to help you along the way.Who this course is for: Anyone who wants to learn about combinatorial optimization and discrete mathematics Anyone who wants to understand different combinatorial optimization algorithms Anyone who wants to understand and implement Ant Colony Optimization Anyone who wants to solve Travelling Salesman ProblemHomepage: https://www.udemy.com/course/antcolonyoptimization/Download Part 01Download Part 02Download Part 03Click Here for More Tutorial