Investigation on Evolutionary Deterministic Chaos Control
Abstract
This contribution introduces an investigation on deterministic spatiotemporal chaos control based on evolutionary algorithms use. Two evolutionary algorithms are used for chaos control here: differential evolution and self-organizing migrating algorithm. Like a model of spatiotemporal chaos so called coupled map lattices are used. Main aim of this investigation was to show that evolutionary algorithms are capable of deterministic chaos control when cost function is properly defined. Investigation consists of four different case studies with increasing calculation complexity. For both algorithms each simulation was 50 times repeated to show and check robustness of used methods.
