Electroencephalography is one of the most commonly used methods for extracting
information about the brain's condition and can be used for diagnosing epilepsy. The EEG …

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 …

A novel method of locating all real roots of systems of nonlinear equations is presented here.
The root finding problem is transformed to optimization problem, enabling the application of …

A stochastic global optimization method based on Multistart is presented. In this, the local
search is conditionally applied with a probability that takes in account the topology of the …

In this paper, a new sampling technique is proposed that can be used in the Multistart global
optimization technique as well as techniques based on it. The new method takes a limited …

L'optimisation des structures est un processus essentiel dans la conception des systèmes
mécaniques et électroniques. Cette thèse s' intéresse à la résolution des problèmes mono …

Many machine learning problems, such as K-means, are non-convex optimization problems.
Usually they are solved by performing several local searches with random initializations …

A genetic programming based method is introduced for data classification. The fundamental
element of the method is the well-known technique of Grammatical Evolution. The method …

The problem of finding the global minimum of multidimensional functions is often applied to
a wide range of problems. An innovative method of finding the global minimum of …

Multilocal programming aims to locate all the local solutions of an optimization problem. A
stochastic method based on a multistart strategy and a derivative-free filter local search for …