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Module 03: Genetic Algorithms: Fundamentals - Holland's Gift to Optimization

GAs are the most widely known evolutionary algorithms. Binary strings, crossover, mutation, and selection - simple ingredients that solve surprisingly hard problems. We build one from scratch and tackle the knapsack problem and TSP.

Learning Objectives​

  1. Implement a binary GA from scratch
  2. Code crossover variants (1-point, 2-point, uniform) and bit-flip mutation
  3. Implement tournament and fitness-proportionate selection
  4. Understand the schema theorem at an intuitive level
  5. Solve the knapsack problem and TSP with GAs

Concept Explanation​

Coming soon.

Code Examples​

Coming soon.

Exercises​

Coming soon.

Milestone Checklist​

  • Built a GA from scratch
  • Solved knapsack with binary GA
  • Solved TSP with order crossover
  • Can explain the schema theorem intuitively

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