An Efficient Hybrid Algorithm Based on HS and SFLA

作者：Ouyang, Aijia; Peng, Xuyu^*; Liu, Yanbin; Fan, Lilue; Li, Kenli

来源：International Journal of Pattern Recognition and Artificial Intelligence, 2016, 30(5): 1659012.

DOI：10.1142/S0218001416590126

• Harmony search algorithm
• shuffled frog leaping algorithm
• hybrid mechanism
• optimization

When used for optimizing complex functions, harmony search (HS) and shuffled frog leaping algorithm (SFLA) algorithm tend to easily get trapped into local optima and result in low convergence precision. To overcome such shortcomings, a hybrid mechanism of selective search by combining HS algorithm and SFLA algorithm is as well proposed. An HS-SFLA algorithm is designed by taking the advantages of HS and SFLA algorithms. The hybrid algorithm of HS-SFLA is adopted for dealing with complex function optimization problems, the experimental results show that HS-SFLA outperforms other state-of-the-art intelligence algorithms significantly in terms of global search ability, convergence speed and robustness on 80% of the benchmark functions tested. The HS-SFLA algorithm could directly be applied to all kinds of continuous optimization problems in the real world.

• 出版日期2016-6
• 单位遵义师范学院; 湖南大学