| 求解复杂函数优化问题的混合蛙跳算法* |
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| 引用本文： | 赵鹏军,刘三阳.求解复杂函数优化问题的混合蛙跳算法*[J].计算机应用研究,2009,26(7):2435-2437. |
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| 作者姓名： | 赵鹏军 刘三阳 |
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| 作者单位： | 1. 商洛学院,数学与计算科学系,陕西,商洛,726000;西安电子科技大学,理学院,西安,710071
2. 西安电子科技大学,理学院,西安,710071 |
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| 基金项目： | 国家自然科学基金资助项目(60674108,60574075) |
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| 摘 要： | 针对基本混合蛙跳算法在处理复杂函数优化问题时容易陷入局部最优、收敛速度慢的缺点，提出了一种改进的混合蛙跳算法。该算法把生物学中的吸引排斥思想引入到混合蛙跳算法中，修正了其更新策略，从而维持了子群的多样性。实验仿真结果表明，改进的混合蛙跳算法提高了算法的收敛速度，有效地避免了SFLA的早熟收敛问题，从而改善了对复杂问题的搜索效率，数值实验结果验证了算法的有效性和鲁棒性。
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| 关 键 词： | 混合蛙跳算法 智能优化 复杂函数 |
Shuffled frog leaping algorithm for solving complex functions |
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| ZHAO Peng jun,LIU San yang.Shuffled frog leaping algorithm for solving complex functions[J].Application Research of Computers,2009,26(7):2435-2437. |
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| Authors: | ZHAO Peng jun LIU San yang |
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| Affiliation: | 1.Dept. of Mathematics & Computational Science;Shangluo University;Shangluo Shannxi 726000;China;2.School of Science;Xidian University;Xi'an 710071;China |
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| Abstract: | Basic shuffled frog leaping algorithm(SFLA) easily trapped into local optima and had a slow convergence speed when it was used to address complex functions,in order to overcome the shortcomings,this paper proposed an improved SFLA. The proposed algorithm integrated the attraction-repulsion mechanism in the field of biology into SFLA and modified updating strategy,and thus maintains the subpopulation diversity. Experimental results show that the proposed SFLA enhances convergence velocity and avoids prematur... |
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| Keywords: | shuffled frog leaping algorithm(SFLA) intelligent optimization complex functions |
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