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Title: Coevolving solutions to the shortest common superstring problem. Author: Zaritsky A, Sipper M. Journal: Biosystems; 2004; 76(1-3):209-16. PubMed ID: 15351144. Abstract: The shortest common superstring (SCS) problem, known to be NP-Complete, seeks the shortest string that contains all strings from a given set. In this paper we compare four approaches for finding solutions to the SCS problem: a standard genetic algorithm, a novel cooperative-coevolutionary algorithm, a benchmark greedy algorithm, and a parallel coevolutionary-greedy approach. We show the coevolutionary approach produces the best results, and discuss directions for future research.[Abstract] [Full Text] [Related] [New Search]