@article {98304,
	title = {BASA: An improved hybrid bees algorithm for the single machine scheduling with early/tardy jobs},
	journal = {International Journal of Production Management and Engineering},
	volume = {11},
	number = {2},
	year = {2023},
	pages = {167-177},
	abstract = {
	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.

},
	url = {https://polipapers.upv.es/index.php/IJPME/article/view/18077/16035},
	author = {Abdessemed, Ahmed-Adnane and Mouss, Leila-Hayet and Benaggoune, Khaled}
}
