The Replacement Strategy with Adaptive Generation Gap for Genetic Algorithm
Abstract：The replacement strategy is of great importance for theperformance of the genetic algorithms. We introduce a new replacement strategy with adaptive generation gap. Simulation shows, compared with other strategies, the new method can improve the efficiency of the genetic algorithms based on the real-valued coding without loss of quality.
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Publication Date：2001-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 41-44 )