Advances in evolutionary optimization based image processing

摘要

Evolutionary Computation (EC) has evolved as a very effective tool to suggest solutions for various branches of Engineering including signal processing, automatic control, industrial and consumer electronics, robotics, finance, manufacturing systems, electric power systems, power electronics and drives, etc. Image processing is also another domain which has been attracting significant research attention regarding development of Evolutionary Computation based solutions for almost every problem which has a traditional solution and also for problems where traditional methods face significant problems. While slightly older variations of such solutions using GA, simulated annealing, DE and PSO have been proposed in the last decade, with the advent of newer variations of Evolutionary Computation algorithms, like Bacterial Foraging Optimization, Biogeography Based Optimization, Gravitational Search Algorithm, Artificial Bee Colony Algorithm, Harmony Search Algorithm, Memetic Algorithm, etc., the research in this domain has become manifold all over the world.