Optimization problems can be seen in numerous fields of practical studies. One area making
waves in the application of optimization methods is data mining in machine learning. An …

The paper presents a new version of evolutionary multi-objective weather routing (WR) for
ships taking into account uncertainties of weather forecasts in route optimization. The …

Solving industrial scheduling problems remains challenging despite the heavy research
efforts in the last decade due to the introduction of new technologies in the context of …

Testing is essential for the software's success, but despite this, it is a time and resource-
consuming activity. Therefore, researchers and practitioners continuously try to improve …

In this study, we investigate the effectiveness of cuckoo search algorithm (CSA) for solving
the uncapacitated examination timetabling problem (UETTP). CSA is a popular …

In this article, a Quantum inspired Particle swarm optimization (QtPSO) based Fuzzy c-
means algorithm is proposed to cluster multidimensional data. Sometimes, fuzzy c-means …

Scheduling problems are present in various industrial and service sectors and have a great
deal of impact on the performance of these systems. The overwhelming majority of industrial …

Optimizing system performance in dynamic and heterogeneous environments and the
efficient management of computational tasks are crucial. This paper therefore looks at task …

Scheduling practices are critical decision-making processes that substantially influence the
overall performance of cloud and manufacturing environments. Therefore, scheduling …

AbstractOptimization problems can be seen in numerous fields of practical studies. One area
making waves in the application of optimization methods is data mining in machine learning …