M. Fatih TasgetirenQuan-Ke PanP. N. SuganthanAdalet OnerSuganthan, P.N.Tasgetiren, M. FatihFatih Tasgetiren, M.Oner, AdaletPan, Quan-Ke2025-10-0620130307-904X1872-848010.1016/j.apm.2013.02.0112-s2.0-84878203450http://dx.doi.org/10.1016/j.apm.2013.02.011https://gcris.yasar.edu.tr/handle/123456789/7491https://doi.org/10.1016/j.apm.2013.02.011In this paper we present a discrete artificial bee colony algorithm to solve the no-idle permutation flowshop scheduling problem with the total tardiness criterion. The no-idle permutation flowshop problem is a variant of the well-known permutation flowshop scheduling problem where idle time is not allowed on machines. In other words the start time of processing the first job on a given machine must be delayed in order to satisfy the no-idle constraint. The paper presents the following contributions: First of all a discrete artificial bee colony algorithm is presented to solve the problem on hand first time in the literature. Secondly some novel methods of calculating the total tardiness from make-span are introduced for the no-idle permutation flowshop scheduling problem. Finally the main contribution of the paper is due to the fact that a novel speed-up method for the insertion neighborhood is developed for the total tardiness criterion. The performance of the discrete artificial bee colony algorithm is evaluated against a traditional genetic algorithm. The computational results show its highly competitive performance when compared to the genetic algorithm. Ultimately we provide the best known solutions for the total tardiness criterion with different due date tightness levels for the first time in the literature for the Taillard's benchmark suit. (C) 2013 Elsevier Inc. All rights reserved.Englishinfo:eu-repo/semantics/closedAccessArtificial bee colony algorithm, No-idle permutation flowshop scheduling problem, Metaheuristics, Evolutionary algorithms, Genetic algorithmMINIMIZE, MACHINE, WAIT, OPTIMIZATION, SHOPS, TIMEArtificial Bee Colony AlgorithmGenetic AlgorithmMetaheuristicsNo-Idle Permutation Flowshop Scheduling ProblemEvolutionary AlgorithmsArticle