Descriptions
Combinatorial problems and algorithm for optimizing ant colonies, Seek Methods And Heuristics are among the most fundamental techniques in artificial intelligence. One of the most respected of these is ant colony optimization, which allows humans to solve some of the most difficult problems in history. This course will walk you through the details of this algorithm. The main algorithm will be ant colony optimization, which is a search method that can be easily applied to various applications, including machine learning, data science, neural networks, and deep learning. The The course is helpful to learn the following concepts: The main components of, Formulating combinatorial optimization problems, Difficulty of combinatorial optimization problems, State space tree, Exact methods, Heuristic methods, Brute force algorithm (exhaustive) for solving combinatorial problems, Branching and bound algorithm for solving combinatorial problems
What you will learn
- Formulate combinatorial optimization problems
- Solve combinatorial optimization problems
- Develop and use ant colony optimization
- Solve the traveling salesman problem
Who is this course suitable for?
- Anyone who wants to learn about combinatorial optimization and discrete mathematics
- Anyone who wants to understand various combinatorial optimization algorithms
- Anyone who wants to understand and implement the optimization of ant colonies
- Anyone who wants to solve the traveling salesman problem
Specification of combinatorial problems and algorithm for optimizing ant colonies
- Publisher : Udemy
- Teacher: Seyedali Mirjalili
- Language: English
- Level: All levels
- Number of courses: 19
- Duration: 4 hours and 57 minutes
Content of combinatorial problems and algorithm for optimizing ant colonies
Requirements
- Basic programming knowledge in Matlab
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Subtitles: English
Quality: 720p
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File size
2.09GB