Combinatorial Problems and Ant Colony Optimization Algorithm
Combinatorial Problems and Ant Colony Optimization Algorithm, available at $64.99, has an average rating of 4.15, with 19 lectures, based on 472 reviews, and has 2680 subscribers.
You will learn about Formulate combinatorial optimization problems Solve combinatorial optimization problems Develop and use Ant Colony Optimization Solve Travelling Salesman Problem This course is ideal for individuals who are Anyone who wants to learn about combinatorial optimization and discrete mathematics or Anyone who wants to understand different combinatorial optimization algorithms or Anyone who wants to understand and implement Ant Colony Optimization or Anyone who wants to solve Travelling Salesman Problem It is particularly useful for Anyone who wants to learn about combinatorial optimization and discrete mathematics or Anyone who wants to understand different combinatorial optimization algorithms or Anyone who wants to understand and implement Ant Colony Optimization or Anyone who wants to solve Travelling Salesman Problem.
Enroll now: Combinatorial Problems and Ant Colony Optimization Algorithm
Summary
Title: Combinatorial Problems and Ant Colony Optimization Algorithm
Price: $64.99
Average Rating: 4.15
Number of Lectures: 19
Number of Published Lectures: 19
Number of Curriculum Items: 19
Number of Published Curriculum Objects: 19
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Formulate combinatorial optimization problems
- Solve combinatorial optimization problems
- Develop and use Ant Colony Optimization
- Solve Travelling Salesman Problem
Who Should Attend
- 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
Target Audiences
- 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
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. The course is helpful to learn the following concepts:
Part 1:
1. The main components of the
2. Formulating combinatorial optimization problems
3. Difficulty of combinatorial optimization problems
4. State space tree
5. Search space
6. Travelling Salesman Problem (TSP)
Part 2:
1. Exact methods
2. Heuristics methods
3. Brute-force (exhaustive) algorithm to solve combinatorial problems
4. Branch and bound algorithm to solve combinatorial problems
5. The nearest neighbour to solve the Travelling Salesman Problem
Part 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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Chapter 2: Combinatorial Optimization Problems
Lecture 1: Combinatorial Optimization Problems
Lecture 2: Difficulty of Combinatorial Optimization Problems
Lecture 3: Sate Space of Combinatorial Optimization Problems
Chapter 3: Combinatorial Optimization Algorithms
Lecture 1: The Main Classes of Combinatorial Optimization Algorithms
Lecture 2: Brute-Force Search
Lecture 3: Branch and Bound Method
Lecture 4: Nearest Neighbours Method
Chapter 4: Ant Colony Optimization
Lecture 1: Inspirations of Ant Colony Optimization Algorithm
Lecture 2: Mathematical Models of Ant Colony Optimization Algorithm
Lecture 3: A framework for implementing ACO
Lecture 4: Preparing the problem
Lecture 5: Drawing the graph
Lecture 6: Initial Paramters, creating a colony, and roulette wheel
Lecture 7: Finding the queen!
Lecture 8: Updating the pheromone matrix and apply evaporation
Lecture 9: Visualizing the best tour and phromone concentraiton
Lecture 10: Tuning the Parameters of Ant Colony Optimization Algorithm
Chapter 5: Bonus Vidoes
Lecture 1: Thank You
Instructors
-
Seyedali Mirjalili
PhD in Artificial Intelligence
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 6 votes
- 3 stars: 27 votes
- 4 stars: 146 votes
- 5 stars: 288 votes
Frequently Asked Questions
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