Special Issue "Bio-Inspired Algorithms"

Dear Colleagues,

In the field of applied informatics, the algorithmic-based procedural approach has indisputable advantages, but it also has several limitations with respect to hard problems without exact solutions due to incomplete or imperfect information and high computation demand.

It is frequently worth looking to biology in order to understand and model solutions for complex real-world problems. Nature is a great source of inspiration for optimization methods for solving large, indeterministic, inscrutable problems with a lack of information. Several efficient methods and method groups are based on the process of natural selection, the behavior of living creatures (or groups of these), physical phenomena, or, particularly, on the mechanisms of the brain.

For this Special Issue on "Bio-Inspired Algorithms", we seek original research papers about novel bio-inspired methods, analysis of already-existing techniques, or high-level practical applications from the field of computer science or any interdisciplinary field. We welcome manuscripts discussing evolutional (Genetic Algorithms, NSGA, etc.), swarm-intelligence-based (Particle Swarm Optimization, Ant Colony Optimization, the Fireworks Algorithm, etc.), or brain-inspired computing (Neural Networks, Deep Learning, etc.) methods applied in any kind of research project (image processing, natural language processing, general optimization, physical simulations, etc.). 

Dr. Sándor Szénási

Dr. Gábor Kertész

Guest Editors