Udemy – Combinatorial Problems and Ant Colony Optimization Algorithm 2018-11
Udemy – Combinatorial Problems and Ant Colony Optimization Algorithm 2018-11 Downloadly IRSpace

Combinatorial Problems and Ant Colony Optimization Algorithm, Search 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. 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. The course is helpful to learn the following concepts: The main components of the, Formulating combinatorial optimization problems, Difficulty of combinatorial optimization problems, State space tree, Exact methods, Heuristics methods, Brute-force (exhaustive) algorithm to solve combinatorial problems, Branch and bound algorithm to solve combinatorial problems
What you’ll learn
- Formulate combinatorial optimization problems
- Solve combinatorial optimization problems
- Develop and use Ant Colony Optimization
- Solve Travelling Salesman Problem
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 Problem
Specificatoin of Combinatorial Problems and Ant Colony Optimization Algorithm
- Publisher : Udemy
- Teacher : Seyedali Mirjalili
- Language : English
- Level : All Levels
- Number of Course : 19
- Duration : 4 hours and 57 minutes
Content of Combinatorial Problems and Ant Colony Optimization Algorithm
Requirements
- Basics coding skills in Matlab
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Subtitle : English
Quality: 720p
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File size
2.09 GB