This article deals with optimization problems to be solved in the absence of a full power
computer device. The goal is to solve a complex optimization problem by using a control …

This article proposes a procedure to perform an intelligent initialization for population-based
algorithms. The proposed pre-processing procedure, namely Cluster-Based Population …

This paper proposes a novel and unconventional Memetic Computing approach for solving
continuous optimization problems characterized by memory limitations. The proposed …

This paper proposes a computational prototype for automatic design of optimization
algorithms. The proposed scheme makes an analysis of the problem that estimates the …

Memetic Computing (MC) structures are algorithms composed of heterogeneous operators
(memes) for solving optimization problems. In order to address these problems, this study …

In order to solve the image segmentation problem which assigns a label to every pixel in an
image such that pixels with the same label share certain visual characteristics more …

Although Differential Evolution is an efficient and versatile optimizer, it has a wide margin of
improvement. During the latest years much effort of computer scientists studying Differential …

Lamarckian learning has been introduced into evolutionary computation to enhance the
ability of local search. The relevant research topic, memetic computation, has received …

Nearly 72 years ago, Wertheimer [1] pointed out the importance of perceptual grouping and
organization in vision and listed several key factors, such as similarity, proximity, and good …

The vertiginous technological growth of the last decades has generated a variety of powerful
and complex systems. By embedding within modern hardware devices sophisticated …