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This paper presents a cellular genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The evolution process is inspired by a basic genetic algorithm. The population evolves on a bidimensional grid and is implicitly organized in geographical clusters that present a form of structural similarity between individuals. Two feature functions are used to measure the similarity between chromosomes. The approach considers multiple parallel evolving grids. Adoi:10.1109/cec.2012.6256590 dblp:conf/cec/RotaruB12 fatcat:4ly3nrktw5habc6lf5err7d5py