Evolutionary Computation Applied to System Architecture Development

Evolutionary algorithms and computational intelligence are developing sciences that have a strong potential to assist in the generation and evaluation of system and system-of-systems architectures. General techniques used by system engineers are integrated with computational intelligence methods to expand the ability of systems engineers and architects to effectively manage large, imprecise, and complex system-architecture development activities. This paper explores a basic set of conceptual, semantic and computation techniques based on computational intelligence that supports system architecture evaluation and development.