YAPAY ARI KOLONG ALGORGTMASI GLE ZAMAN PENCERELG TAKIM ORYANTGRGNG PROBLEMLERGNGN ÇÖZÜMÜ

Abstract

Artificial bee colony is one of a swarm intelligence based approach. Artificial bee colony is a metaheuristic method that was inspired by honey bee colonies and based on observing the nourishment behavior of honey bees. Orienteering is a kind of sport which originated in Sweden. Given a set of known locations with starting and ending point, each with a score, a service time, and a time window, a set of vehicle tours that maximizes the total collected scores on condition on turning to the start or end point. In this study artificial bee colony algorithm will be applied to the team orienteering problems with time windows benchmark instances. Artificial bee colony algorithm results for hundred nodes will be compared with iterated local search, variable neighborhood search, fast simulated annealing and slow simulated annealing results in the literature. In addition to these benchmark results new results will be proposed for the fifty nodes problems which might not solved in the literature previously.