Dependency Structure Matrix Analysis: Off-line Utility of the Dependency Structure Matrix Genetic Algorithms

نویسندگان

  • Tian-Li Yu
  • David E. Goldberg
چکیده

This paper investigates the off-line use of the dependency structure matrix genetic algorithm (DSMGA). In particular, a problem-specific crossover operator is design by performing dependency structure matrix (DSM) analysis. The advantages and disadvantages of such an off-line use are discussed. Two schemes that helps the off-line usage are proposed. Finally, those off-line schemes are demonstrated by DSMGA on MaxTrap functions.

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تاریخ انتشار 2004