Bio-inspired algorithms are widely and successfully used in solving complex optimization
problems. However, a common challenge faced by these algorithms is getting stuck in local …

The planning of paths in complex, interconnected, and unknown structures, such as mazes,
is a crucial topic in various fields, including artificial intelligence and robotics. Agents …

In this thesis, I presented my research papers in which I had spent the last three years. The
aim of my research topic is to investigate, with different techniques and approaches the …

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 …

During my Ph. D. experience, research work led to the development of numerous scientific
articles which revolve around the understanding of the human mentality and behavior. A …