A commonly used strategy to improve bus operations is to dedicate a lane for bus use only.
However, this can reduce the available capacity for non-transit modes, in return increasing …

Optimization is essential for nding suitable answers to real life problems. In particular,
genetic (or more generally, evolutionary) algorithms can provide satisfactory approximate …

In this work, a new efficient evolutionary algorithm to enhance the global optimization search
is presented, which applies double populations, each population divided into several …

In conventional methods for detecting vanishing points and vanishing lines, the observed
feature points are clustered into collections which represent different lines. The multiple lines …

This paper presents a preliminary study on space allocation focusing on the rectangular
shapes to be assigned into an area with an intention to find optimal combination of shapes …

Many urban areas rely on bus transit to provide mobility to people. Transit priority strategies
can be used to improve bus operations. However, implementing transit priority applications …

Optimization is necessary for finding appropriate solutions to a range of real-life problems. In
particular, genetic (or more generally, evolutionary) algorithms have proved very useful in …

The success of new learning systems depends highly on their ability to adapt to the
characteristics and needs of each student. QUESTOURnament is a competitive e-learning …

In this work, continuing the line of research from our previous papers [1–4], we further
explore the notion of a schema in evolutionary algorithms and its role in finding global …

The aim of this study is to improve the performance of Genetic Algorithm (GA) and extend the
GA towards a more natural approach by incorporatingassortative & disassortative mating …