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Genetic Algorithms: From Theory to Application

SRM Institute of Science and Technology via SWAYAM Plus

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Overview

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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.

Intended audience

Optimization Specialist, Operations Research Analyst, AI Research Scientist

Prerequisites

  • NA

Assessment & certification

  • Assessment fee: Included — no extra fee
  • Assessment mode: Online
  • Assessment type: MCQ
  • Assessment provider: SRM Institute of Science and Technology
  • Certificate provider: Optimization Specialist, Operations Research Analyst, AI Research Scientist

Syllabus

  • Week 1: 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.

Taught by

Dr. K Deeba, Associate Professor, SRM Institute of Science and Technology, Kattankulathur

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