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Module 12: Coevolution, Memetic & Cultural Algorithms - Competition, Cooperation, and Hybrid Intelligence

Coevolution pits populations against each other (competitive) or decomposes problems into cooperating subpopulations. Memetic algorithms hybridize evolution with local search. Cultural algorithms add a knowledge layer. Each extends the basic EA in a unique direction.

Learning Objectives​

  1. Implement competitive coevolution for a game (e.g., Iterated Prisoner's Dilemma)
  2. Implement cooperative coevolution for large-scale optimization
  3. Build a memetic algorithm (GA + local search)
  4. Understand cultural algorithms and belief spaces
  5. Know when hybrid approaches outperform pure EA

Concept Explanation​

Coming soon.

Code Examples​

Coming soon.

Exercises​

Coming soon.

Milestone Checklist​

  • Built a competitive coevolution system
  • Implemented cooperative coevolution for decomposition
  • Built a memetic algorithm
  • Understand Red Queen dynamics

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