ICLANZAN, DAVID, Rodica Ioana Lung, Anca Gog, and CAMELIA CHIRA. “EVOLUTIONARY COMPUTING IN THE STUDY OF COMPLEX SYSTEMS.” UNIVERSITATIS BABEŞ-BOLYAI INFORMATICA : 84.
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Complex systems and their important principles of emergence, auto-organization and adaptability are being intensively studied by researchers in a variety of fields including physics, biology, computer science, sociology and economics. The aim of this paper is to highlight potential interesting research directions lying at the intersection of nature-inspired computing and complex systems and able to generate new insights on modelling complexity. The field of evolutionary computation comprises classes of nature inspired search, design and optimization methods that can be applied to a variety of complex problems. Complex systems and relevant evolutionary computation methods are reviewed and analysed in this paper. Several aspects relating evolutionary computation to emergent and self-organization phenomena are emphasized.