Conventional video summarization methods focus predominantly on summarizing videos
along the time axis, such as building a movie trailer: The resulting video trailer tends to …

The paper presents an overview of global issues in optimization methods for training
feedforward neural networks (FNN) in a regression setting. We first recall the learning …

Optimization problems were and still are the focus of mathematics from antiquity to the
present. Since the beginning of our civilization, the human race has had to confront …

A metaheuristic algorithm for global optimization called the collective animal behavior (CAB)
is introduced. Animal groups, such as schools of fish, flocks of birds, swarms of locusts, and …

A common approach to global optimization is to combine local optimization methods with
random restarts. Restarts have been used as a performance boosting approach. They can …

The aim of this work is to propose a methodology to optimize the performance of a flexible
rotor-bearing system taking into account parameter uncertainties. The idea of the …

Intensity‐modulated radiation therapy (IMRT) is a modern radiotherapy modality that uses a
multileaf collimator to enable the irradiation of the patient with nonuniform maps of radiation …

We report a comprehensive study of the efficacy of least-squares fitting of multidimensional
spectra to generalized Kubo line-shape models and introduce a novel least-squares fitting …

Purpose The inverse planning of an intensity‐modulated radiation therapy (IMRT) treatment
requires decisions regarding the angles used for radiation incidence, even when arcs are …

In this paper we address the problem of computing multiple roots of a system of nonlinear
equations through the global optimization of an appropriate merit function. The search …