Summary
Keywords
Full Transcript
Genetic Algorithm to Solve Maximization Problem f(x) = x^3 in Machine Learning by Mahesh Huddar Solve a problem 𝒇(𝒙)=𝒙^𝟑 , where 𝑶≤ 𝒙≤ 𝟏𝟓. Find some stages of the application of genetic algorithms. The first step is deciding the chromosome. Binary encoding can be used to encode x. Since the maximum value of 𝑥 is 15, four bits are required to encode it. Some random sequences are chosen for the first iteration. Genetic Algorithm: https://www.youtube.com/watch?v=WueuYdDqUt0 #1. Genetic Algorithm Solved Example: https://www.youtube.com/watch?v=udN28wPqaZI #2. Genetic Algorithm Solved Example: https://www.youtube.com/watch?v=Dj1AZ0T-m-I #3. Genetic Algorithm Solved Example: https://youtu.be/Nvu7Klh_knM #1. Crossover Operators: https://www.youtube.com/watch?v=89SgYgy4Z4w #2. Crossover Operators: https://www.youtube.com/watch?v=BTlB6ioeMSU #3. Crossover Operators:: https://www.youtube.com/watch?v=kifA8gq0OGU Mutation operator: https://youtu.be/51lZ5jI0JbA Encoding Techniques: https://youtu.be/l743_P-mKgM The following concepts are discussed: ______________________________ genetic algorithm, genetic algorithm maximization problem, genetic algorithm maximize function, maximize function using genetic algorithm, solve maximization problem using genetic algorithm, Maximization problem in machine learning, Maximization problem in genetic algorithm, binary encoding in genetic algorithm, genetic algorithm in machine learning ******************************** 1. Blog / Website: https://www.vtupulse.com/ 2. Like Facebook Page: https://www.facebook.com/VTUPulse 3. Follow us on Instagram: https://www.instagram.com/vtupulse/ 4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates
