SRM INSTITUTE OF SCIENCE AND TECHNOLOGY
RAMAPURAM CAMPUS
COLLEGE OF SCIENCE AND HUMANITIES
DEPARTMENT OF COMPUTER SCIENCE AND APPLICATIONS
Two Weeks Online International FDP
A Era of Change : Recent Advancements of Machine Learning in terms of AI & IoT.
DATE: 12.7.2021 to 25.07.2021
The Department of Computer Science & Applications is organizing a Two Weeks Online International Faculty Development Program
DAY#2 -13.07.2021
Prof.D. Nagesh Kumar, Prof. Satish Dhawan Chair Professor, Department of Civil Engineering, IISC, BANGALORE
Total Number of Participants: 250
WELCOME ADDRESS DR.J.DHILIPAN HOD-MCA AND VICE PRINCIPAL-ADMIN
🔮Dr.J.DHILIPAN VICE PRINCIPAL ADMIN and HOD MCA presented the welcome address. During his address he welcomed the chief guest of today’s function and expressed his gratitude for accepting our invitation
🔮He concluded his address by stating that the topic chosen today will help the faculty members and research Scholars to carry out their research
🚨Mrs.J.SHOBANA, Assistant Professor/MCA read the chief guest profile and introduced the guest to the audience
DAY #2- TECHNICAL SESSION:
Prof D. Nagesh Kumar, Prof. Satish Dhawan Chair Professor, Department of Civil Engineering, IISC, BANGALORE
🛗Shri. Nagesh Kumar started the session with an explanation of Genetic algorithms
💠A genetic algorithm is a search-based algorithm used for solving optimization problems in machine learning. This algorithm is important because it solves difficult problems that would take a long time to solve
🛗What are Optimization methods? Then explained
Cambinotarial problems and
Continous problems
💠Combinatorial problems involve finding a grouping, ordering, or assignment of a discrete, finite set of objects that satisfies given conditions
🛗He then discussed about mechanisms of evolutionary change
🛗His discussion continued with
🥌Cross over- In genetic algorithms and evolutionary computation, crossover, also called recombination, is a genetic operator used to combine the genetic information
🥌mutation
🥌Natural selection
🛗He then discussed about various aspects of Genetic approach
🎛️population
🎛️selection
🎛️fitness functions
🎛️encoding schemes
🛗He then explained about the following topics
🌐working principles of Genetic algorithms
🌐fitness evaluation
🌐Genetic operations
🌐coding
🌐termination
🌐initialization
🌐seeding the population
🛗He continued address by explaining about the following topics in detail
🥏fitness evaluation with example
🥏selection techniques
🥏proportional fitness selection with examples
🥏cross over with example
🥏single point cross over
🔖He concluded his address by explaining about
🥏Genetic algorithms summary
🥏Pseudocode
🥏Genetic algorithms examples
🥏procedure and binary coding
🥏GA operation steps
🥏Sample case study
🌹Then the entire session was opened to the audience for clarification of their doubts and interaction. The entire session was much useful for all the participants
🌹Mr.D.Rajkumar, Assistant Professor/MCA presented the vote of thanks for the day 2 technical session
