• Administration

  • Office hours: Are listed on our syllabus. Always check my calendar and send me a meeting invite for an appointment.
    
    
  • The syllabus in pdf .
    

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• How to write a (GA) paper
• Simple Classifier Systems

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• Assignments (tentative)
  • A sample project-abstract presentation

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• Course Material
  • Genetic Programming: GP Tutorials
  • Presentations: Choose and present a classic/current evolutionary computing paper. Here is a possible list of classic papers to present.

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• Resources
  • Evolutionary Computing Systems Lab (ECSL). Pronounced "XL" or "excel."

  • Software: GA code for you!. Now with code for CIGAR systems. All this code is based on Dave Goldberg's pascal code from his GA textbook.
  • C# Unity code for a simple and CHC GA
  • C++ GA: A simple genetic algorithm with fitness proportional selection, one-point crossover, and bit-flip mutation in C++.
  • C++ CHC GA: A genetic algorithm with CHC selection, one-point and two-point crossover, and bit-flip mutation in C++.
  • Python GA: A simple genetic algorithm with fitness proportional selection, one-point crossover, and bit-flip mutation in Python.
  • Python CHC GA: A genetic algorithm with CHC selection one-point crossover, and bit-flip mutation in Python.

  • Writing Pointers: a sample project report, and another sample report

  • JSSP solver: a genetic algorithm based JSSP solver

  • Function optimization: Function optimization with genetic algorithms . Includes the DeJong functions and Functions from Deb's real coded GAs paper

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Sushil Louis