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In this paper we study cellular evolutionary algorithms, a kind of decentralized heuristics, and the importance of their induced exploration/exploitation balance on different problems. It is shown that, by choosing synchronous or asynchronous update policies, the selection pressure, and thus the exploration/exploitation tradeoff, can be influenced directly, without using additional ad hoc parameters. Synchronous algorithms of different neighborhood-to-topology ratio, and asynchronous updatedoi:10.1109/cec.2004.1331163 dblp:conf/cec/DorronsoroAGT04 fatcat:c7u25kixhvcrtkprgk7cz3j3oq