A Discrete Artificial Bee Colony Algorithm for the Team Orienteering Problem with Time Windows

dc.contributor.author Korhan Karabulut
dc.contributor.author M. Fatih Tasgetiren
dc.coverage.spatial Singapore SINGAPORE
dc.date.accessioned 2025-10-06T16:20:14Z
dc.date.issued 2013
dc.description.abstract This paper presents a discrete artificial bee colony algorithm (DABC) for solving the team orienteering problem with time windows (TOPTW). The proposed algorithm employs a destruction and construction procedure to generate neighboring food sources in the framework of the DABC algorithm. In addition a variable neighborhood descent (VND) algorithm is developed to enhance the solution quality. The performance of the algorithm was tested on a benchmark set from the literature. Experimental results show that the proposed DABC algorithm is competitive to the best performing algorithms from the literature. Ultimately 11 instances are further improved by the proposed DABC algorithm.
dc.identifier.isbn 978-1-4673-5905-4
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/6245
dc.language.iso English
dc.publisher IEEE
dc.relation.ispartof IEEE Symposium on Computational Intelligence in Production and Logistics Systems (CIPLS)
dc.source PROCEEDINGS OF THE 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN PRODUCTION AND LOGISTICS SYSTEMS (CIPLS)
dc.subject orienteering problem with time windows, artificial bee colony algorithm, iterated greedy algorithm, swarm intelligence, heuristic optimization
dc.subject ABC ALGORITHM, SEARCH, OPTIMIZATION
dc.title A Discrete Artificial Bee Colony Algorithm for the Team Orienteering Problem with Time Windows
dc.type Conference Object
dspace.entity.type Publication
gdc.coar.type text::conference output
gdc.index.type WoS
oaire.citation.endPage 106
oaire.citation.startPage 99
person.identifier.orcid Tasgetiren- M. Fatih/0000-0001-8625-3671, Tasgetiren- Mehmet Fatih/0000-0002-5716-575X,
relation.isOrgUnitOfPublication ac5ddece-c76d-476d-ab30-e4d3029dee37
relation.isOrgUnitOfPublication.latestForDiscovery ac5ddece-c76d-476d-ab30-e4d3029dee37

Files