https://ojs.uni-miskolc.hu/index.php/psaie <p>The aim of the journal is to publish quality research papers on the area of</p> <ul> <li>information engineering</li> <li>software engineering</li> <li>production engineering</li> <li>control engineering</li> <li>applied mathematics</li> <li>logistic information systems</li> </ul> MISKOLC UNIVERSITY PRESS en-US Production Systems and Information Engineering 1785-1270 https://ojs.uni-miskolc.hu/index.php/psaie/article/view/4121 <p>This article examines the effectiveness of Harmony Search on a common production scheduling problem, the Flow Shop Scheduling. During the task, a given number of jobs must be performed by a given number of machines. The goal is to determine the order of the jobs so that the makespan is minimized. Harmony Search is a metaheuristic algorithm that maintains a population of solutions. The algorithm is inspired by musical composition. The algorithm continuously improves its solutions and returns with the best solution when the stopping condition is met. The paper presents Harmony Search, the Flow Shop Scheduling Problem, and then the running results. The running results are also compared with the results published by other researchers.</p> Anita Agárdi Copyright (c) 2025 Production Systems and Information Engineering 2025-11-11 2025-11-11 13 2 16 26 10.32968/psaie.2025.2.2XXXX https://ojs.uni-miskolc.hu/index.php/psaie/article/view/4120 <p>This paper examines the efficiency of the Hill Climbing and Elitist Strategy of Ant System algorithms on a well-known production scheduling task, the Flow Shop Scheduling task. In the task, the properties of the machines and jobs are given and all jobs must be performed on each machine. The objective function is the makespan minimization. For this task, the researchers created benchmark datasets on which the efficiency of each algorithm can be proven. This research uses the Taillard dataset to demonstrate the efficiency of the algorithms.</p> Anita Agárdi Copyright (c) 2025 Production Systems and Information Engineering 2025-11-11 2025-11-11 13 2 1 15 10.32968/psaie.2025.2.1XXXX