- Concept of Genetic Algorithm
- Key terms used in GA & Its Mathematical Representation
- Implementation of Natural Selection: Part-1
- Implementation of Natural Selection: Part-2
- Implementation of Recombination: Part-1
- Implementation of Recombination: Part-2
- Implementation of Mutation
- Concept and Implementation of Elitism
What you'll learn
- Working Principle of Genetics Algorithms
- Natural Selection
- Implementation of Natural Selection through Roulette Wheel
- Crossover or Recombination
- Concept of Probability of Crossover and Its usage in generation of Population
- Mutation
- Concept of Probability of Mutation and Its usage in generation of new features
- Concept and Implementation of Elitism
Description
This course covers the working Principle of Genetics Algorithms and its various components like Natural Selection, Crossover or Recombination, Mutation and Elitism in a a very simplified way.
GA are inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover and selection.
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About the instructors
- 4.38 Calificación
- 38927 Estudiantes
- 8 Cursos
Parteek Bhatia
Professor, CSED, TIET, Patiala, India
Parteek Bhatia is a Professor in the Department of Computer Science and Engineering and Former Associate Dean of Student Affairs at Thapar Institute of Engineering and Technology, Patiala. Currently acting as Visiting Professor at the Department of Computer Science, Whitman College, Walla Walla, WA, USA. He is the recipient of the Young Faculty Research Fellowship from the Ministry of Electronics & Information Technology, Govt. of India.
He is a Postdoctorate from Tel Aviv University, Israel, and a former Visting Professor at LAMBDA Lab, Tel Aviv University, Israel.
He has earned his BTech from SLIET and MS from BITS Pilani. He is a doctorate in the field of NLP from Thapar University and a post-doctorate from Tel Aviv University, Israel.
He has published more than 100 research papers and articles in Journals, Conferences, and Magazines of repute. He is a winner of the Gold Medal at the International competition UNL Olympiad II, UNL Olympiad III, and UNL Olympiad IV conducted by the UNDL Foundation in the years 2013 and 2014.
He is a well-known author and published textbooks in Databases and Data Mining. His latest book, “Data Mining and Data Warehousing: Principles and Practical Techniques,” was Published by Cambridge University Press in 2019. He is the author of popular books like “Simplified Approach to DBMS”, “Simplified Approach to Visual Basic” and “Simplified Approach to Oracle,” and “NoSQL in a Day”.
Student feedback
Course Rating
Reviews
good
very clear!
Basic introduction course. More interested to learn about the applications.
good