A Self-adaptive Genetic Algorithm Based on Region Balance Variation

作者：Wang Siyan^*; Zhang Guoli

来源：2nd International Workshop on Knowledge Discovery Data Mining, Russia, 2009-01-23 to 2009-01-25.

DOI：10.1109/WKDD.2009.167

• selection
• crossover
• mutation
• gray code
• adaptive genetic algorithm

Proposing a new algorithm which is simple but effective. Using characteristic of biological evolution and common sense to design the selection operator, improve the variation method of the crossover probability and the mutation probability. Numerical experiments show that the new algorithm is more effective than the comparative algorithm in realizing the high convergence speed, convergence precision, reducing the convergence generation and good at keeping the stability of the adaptive genetic algorithm.

• 出版日期2009
• 单位华北电力大学