Abdessemed, Ahmed AdnaneMouss, Leila HayetBenaggoune, Khaled2023-11-072023-11-072023-07-31https://riunet.upv.es/handle/10251/199415[EN] In this paper, we present a novel hybrid meta-heuristic by enhancing the Basic Bees Algorithm through the integration of a local search method namely Simulated Annealing and Variable Neighbourhood Search like algorithm. The resulted hybrid bees algorithm (BASA) is used to solve the Single Machine Scheduling Problem with Early/Tardy jobs, where the generated outcomes are compared against the Basic Bees Algorithm (BA), and against some stat-of-the-art meta-heuristics. Computational results reveal that our proposed framework outperforms the Basic Bees Algorithm, and demonstrates a competitive performance compared with some algorithms extracted from the literature.Reconocimiento - No comercial - Compartir igual (by-nc-sa)Bees AlgorithmSingle Machine SchedulingEarly/TardySimulated AnnealingMeta-heuristicBASA: An improved hybrid bees algorithm for the single machine scheduling with early/tardy jobsArtÃculo10.4995/ijpme.2023.18077Abierto2340-4876