Difference of Genetic Algorithm and Constraint Programming? -

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i hope shed light on me topic. if chance considered stupid question ask, i'd gladly remove question right away.

i designing course timetabling system , researching, stumbled upon ga , constraint programming approaches in solving problem. however, didn't quite understand differences between 2 , advantages of 1 on other. hope explain me in layman's term or direct me site topic.

thanks in advance!

best regards.

here's how see family of optimization algorithms:

  • exact methods: brute force, branch , bound
  • constraint programming (terrible name): tries reducing domain set
  • linear programming et al: simplex, ...
  • metaheuristics:
    • local search: tabu search, simulated annealing, late acceptance, ...
    • population based algorithms: genetic algorithms, swarm optimization, ...

for use case course timetabling specifically, itc2007 research competition showed local search king. genetic algorithms consistently inferior , constraint programming useless due scalability issues. mileage may 2007 time ago.


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