Nodari Vakhania

Universidad Autónoma del Estado de Morelos, Mexico

Nodari Vakhania graduated with honors from the Faculty of Applied Mathematics and Cybernetics, Tbilisi State University, Georgia, in 1983. In 1989, he entered the Ph.D. program in Computer Science at the Russian Academy of Sciences, Moscow, and obtained a degree in Mathematical Cybernetics in 1991. In 1992, he was a postdoctoral fellow at the Russian Academy of Sciences and had a short-term visiting position at the University of Saarbrucken, Germany. In 1995, he became a professor at the Centro de Investigación en Ciencias, State University of Morelos, Mexico. He also has an honorary position at the Institute of Computational Mathematics of the Georgian Academy of Sciences, where he received a doctoral degree in Mathematical Cybernetics in 2004. His research interests include the design and analysis of algorithms, discrete optimization, computational complexity, and scheduling theory. He is an author of nearly 100 refereed research papers including more than 60 publications in highly ranked international journals. He has also worked with different scientific committees, including those at the Mexican Science Foundation CONACyT. He is an editorial board member and a referee for several international scientific journals. He has obtained research grants and honors in Germany, France, the Netherlands, United States, Russia, and Mexico, and has given more than forty invited talks throughout the world.

Nodari Vakhania

2books edited

2chapters authored

Latest work with IntechOpen by Nodari Vakhania

Optimisation is one of the unavoidable key subjects in engineering and other real-world problems, which attracts researchers’ and practitioners’ attention for decades. On the other hand, computational algorithms nowadays play a definitive role in most real-life applications, from mobile phones to supercomputers, Internet servers, manufacturing, etc. An intelligent method for the enumeration of feasible solutions may lead to efficient computational algorithms. Swarm intelligence emerges as a rather new and novel of field computational intelligence that turned into a hot spot in optimization studies last two decades. This book brings together a number of research articles within the intersection of these two prominent subjects, which introduces techniques and approaches in detail and demonstrates how optimisation problems can be solved with heuristic and swarm intelligence approaches. It contains a few contributions on Particle Swarm Optimisation (PSO) area, which is one of renown swarm optimisation approaches that will shed light to issues around optimisation with swarm intelligence to guide junior researchers with implementation details provided.

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