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This paper proposes an online population size adjustment scheme for genetic algorithms. It utilizes linkagemodelbuilding techniques to calculate the parameters used in facetwise populationsizing models. The methodology is demonstrated using the dependency structure matrix genetic algorithm on a set of boundedlydifficult problems. Empirical results indicate that the proposed method is both efficient and robust. If the initial population size is too large, the proposed method automatically decreases the population size, and thereby yields significant savings in the number of function evaluations required to obtain highquality solutions; if the initial population size is too small, the proposed scheme increases the population size onthefly and thereby avoiding premature convergence.
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