Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...
Solving optimally large instances of combinatorial optimization problems requires a huge amount of computational resources. In this paper, we propose an adaptation of the parallel...
The oscillator problem consists of determining good initial values for the node voltages and the frequency of oscillation and the avoidance of the DC solution. Standard approaches...
This paper introduces a modified version of the well known global optimization technique named line search method. The modifications refer to the way in which the direction and th...
A new evolutionary algorithm, Elitistic Evolution (termed EEv), is proposed in this paper. EEv is an evolutionary method for numerical optimization with adaptive behavior. EEv uses...