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Module 02: Representation, Operators & Selection - The Building Blocks of All EC

Every evolutionary algorithm needs three things: a way to represent solutions, operators to create new ones, and a method to decide which survive. This module covers the shared vocabulary before diving into specific families.

Learning Objectives​

  1. Understand solution representations (binary, real-valued, permutation, tree, variable-length)
  2. Implement mutation operators for each representation
  3. Implement crossover/recombination operators
  4. Code selection schemes (tournament, roulette, rank, truncation)
  5. Understand elitism and its role in convergence

Concept Explanation​

Coming soon.

Code Examples​

Coming soon.

Exercises​

Coming soon.

Milestone Checklist​

  • Can choose appropriate representation for a problem
  • Implemented mutation and crossover for binary and real representations
  • Coded tournament and roulette selection
  • Understand trade-offs between selection pressure and diversity

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