Bayraktar, T.Aydin, M.E.Dugenci, M.2024-09-292024-09-292014https://hdl.handle.net/20.500.14619/9812Computer and Industrial Engineering; et al.; Gaziantep University; Istanbul Commercial University; Journal of Intelligent Manufacturing Systems; Sakarya University, Department of Industrial EngineeringJoint International Symposium on "The Social Impacts of Developments in Information, Manufacturing and Service Systems" 44th International Conference on Computers and Industrial Engineering, CIE 2014 and 9th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2014 -- 14 October 2014 through 16 October 2014 -- Istanbul -- 110500Swarm intelligence algorithms gain more attention with ever growing computing capabilities since they can provide diverse and useful solutions for ill-structured and complex problems. Artificial Bee Colony (ABC) algorithm is a recently developed promising swarm intelligence algorithm attracting researches attention with its strong foundations. In this study, few ABC algorithms including a memory integrated version have been tested for solving 1-D bin-packing problems, which is known as one of challenging NP-Hard combinatorial problems. The results seem very encouraging and lead to further studies to implement ABC algorithms for other combinatorial optimization problems, especially higher dimensional bin-packing problems.eninfo:eu-repo/semantics/closedAccessArtificial bee colony algorithmsBin-packing problemsMemory-embedded searchSwarm intelligenceConference Object2-s2.0-849238999161034N/A1023