This study proposes a dynamic simulation-based framework that utilizes swarm intelligence
algorithms to optimize the design of hybrid assembly lines in the automotive industry. Two …

Motivated by the hierarchical structure within transportation systems, this paper explores a
two-phase time minimization transportation problem with restricted flow (2 p− TPF). In this …

Intelligent transportation systems in urban areas in developing countries are still being
developed. In this process, there are plenteous reports from society that complain about …

Prioritizing which traffic compliance should be handled first is crucial in the development of
Intelligent Transportation Systems (ITS), especially given the influx of complaints received …

This study proposes a dynamic simulation-based framework that utilizes swarm intelligence
algorithms to optimize the design of hybrid assembly lines in the automotive industry. Two …

This paper addresses the vague measure of distance for transportation problems to improve
both time and cost factors. By minimizing the distance between the source and destination …

Methods based on deep learning have great utility in the current field of sentiment
classification. To better optimize the setting of hyper-parameters in deep learning, a hybrid …

The widespread adoption of Global Positioning Systems (GPS) in transportation has
significantly contributed to the understanding of human behaviour, enabling the extraction of …

This paper addresses the vague measure of distance for transportation problems to improve
both time and cost factors. By minimizing the distance between the source and destination …