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The course covers the introduction, history, and principles of Genetic Algorithms, followed by working examples, encoding and selection methods, crossover and mutation techniques, and concludes with coding and real-world applications.
Offered by SRM Institute of Science and Technology5 hrsEnglishDr. K Deeba, Associate Professor, SRM Institute of Science and Technology, Kattankulathur
The course covers the introduction, history, and principles of Genetic Algorithms, followed by working examples, encoding and selection methods, crossover and mutation techniques, and concludes with coding and real-world applications.
Optimization Specialist, Operations Research Analyst, AI Research Scientist
Certification
