Rješavanje problema više trgovačkih putnika genetskim algoritmom
Rješavanje problema više trgovačkih putnika genetskim algoritmom
Ovaj se rad bavi istraživanjem višekriterijskom optimizacijom na primjeru problema više trgovačkih putnika s jednim ishodišnim gradom. U svrhu rješavanja problema dizajniran je i implementiran proširivi programski sustav za upravljanje instancama TSPLIB problema, populacijama te provođenje i nadziranje izvođenja genetskih algoritama na floti udaljenih računala. Provedena je optimizacija parametara vjerojatnosti mutacije i veličine turnira k-turnirske selekcije. Analizirani su i vizualizirani rezultati izvođenja genetskog algoritma brzog nedominirajućeg sortiranja NSGA-II.
A multi-objective optimisation was performed in context of multiple travelling salesmen problem with single home depot. Aiding an implementation of the solution, we implemented an extensible application system for managing instances of TSPLIB problems, populations and running them on a fleet of remote systems. We experimentally measure effects of mutation probability µ & size of tournament selection k on solution quality. We analysed and plotted the results of performed NSGA-II algorithm.
- University of Zagreb Croatia
ˇ radni okvir za genetske algoritme, Multiple travelling salesmen problem, evolutionary algorithm, genetski algoritam, genetic algorithm, genetic algorithm framework, Problem više trgovackih putnika, evolucijski algoritam
ˇ radni okvir za genetske algoritme, Multiple travelling salesmen problem, evolutionary algorithm, genetski algoritam, genetic algorithm, genetic algorithm framework, Problem više trgovackih putnika, evolucijski algoritam
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