The Replacement Strategy with Adaptive Generation Gap for Genetic Algorithm
遗传算法的自适应代沟的替代策略研究

The replacement strategy is of great importance for the performance 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.