This article presents an immune inspired algorithm to tackle the Multiple Sequence
Alignment (MSA) problem. MSA is one of the most important tasks in biological sequence …

The time an offspring should live and remain into the population in order to evolve and
mature is a crucial factor of the performance of population-based algorithms both in the …

Modern high-tech industrial enterprises are equipped with sophisticated equipment and
microprocessor technology. The maintenance of such production facilities is an expensive …

Complex networks constitute the backbone of complex systems. They represent a powerful
interpretation tool for describing and analyzing many different kinds of systems from biology …

This paper presents a novel approach to solve the Multiple Sequence Alignment (MSA)
problem. The Rubber Band Technique: Location Base (RBT-L) introduced in this paper, is …

Variation is a crucial part of a randomized search heuristic since it enables the algorithm to
explore the search space. An inappropriate choice of variation operators can lead to getting …

This thesis deals with the development and evaluation of the Germinal centre artificial
immune system (GC-AIS) which is a novel artificial immune system based on advancements …

In the field of optimization, interest in hybrid metaheuristics has grown significantly over the
last years, obtaining good results not only for classical optimization problems but also for …

Metaheuristics represent a family of approximate optimization techniques and provide high-
quality solutions in a reasonable time for solving hard and complex problems, sacrificing the …