Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …

Evolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in
solving combinatorial and NP-hard optimization problems in various research fields …

We propose a real-time, parameter-free circle detection algorithm that has high detection
rates, produces accurate results and controls the number of false circle detections. The …

Since its inception more than thirty years ago, electroformation has become the most
commonly used method for growing giant unilamellar vesicles (GUVs). Although the method …

As an alternative to classical techniques, the problem of image segmentation has also been
handled through evolutionary methods. Recently, several algorithms based on evolutionary …

In many physical and computer experiments, the order in which the steps of a process are
performed may have a substantial impact on the measured response. Often, the goal in …

Automatic circle detection in digital images has received considerable attention over the last
years in computer vision as several novel efforts aim for an optimal circle detector. This …

Circle extraction is usually a pre-completed task used in different applications related to
medical, robotics, biometrics image analysis among others. Randomized Hough Transform …

The eye is a complex structure composed of several interconnected tissues acting together,
across the whole globe, to resist deformation due to intraocular pressure (IOP). However …

Giant unilamellar vesicles (GUVs) have become one of extensively studied biological bilayer
models especially when investigating topological and mechanical properties of cell …