An Improved Shuffled Frog Leaping Algorithm for TSP

被引：0
|
作者：
Li, Zhoufang [1 ]
Wang, Yuhua [1 ]
机构：
[1] Henan Univ Technol, Sch Informat Sci & Engn, Zhengzhou 450000, Peoples R China
来源：
ADVANCES IN MULTIMEDIA, SOFTWARE ENGINEERING AND COMPUTING, VOL 2 | 2011年 / 129卷
关键词：
SFLA Artificial Intelligence Optimization; OPTIMIZATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the optimization theory of Shuffled Frog Leaping Algorithm (SFLA). the paper extended the traditional model of SFLA for solution by using the encoding basing on urban-based sequence and using the new method for individual. This paper also improved the SFLA for the traveling salesman problem. The simulation results show the effectiveness of the proposed method and strategy.
引用
收藏
页码：139 / 144
页数：6
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