Bio-inspired computing methods take inspiration from nature to develop optimization and search algorithms or metaheuristics, typically in order to tackle the search of optimal solutions of complex problems in science and engineering, which usually imply a high dimensionality of the search space.
Apart from the traditional evolutionary computing methods, artificial immune systems, ant algorithms or particle swarm optimization, the session is intended to focus on new bio-inspired solutions such as swarm algorithm solutions based on bee colonies, algorithms based on firefly insect behavior, artificial algae algorithm and many more, together with their combination with local search strategies or other metaheuristics. The researchers in this field must be self-critical with the boom of such new solutions, contrasting what is new and what is included in other traditional search algorithms or what novelty is provided in a new bio-inspired metaheuristic. Besides, the proposals should be competitive with other methods in the state of the art.
The aim is that the session provides a meeting point for IWINAC attendees and researchers who have a current or developing interest in bioinspired approaches and their applications.
Topics areas are include(but not restricted to):