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A genetic algorithm with dual-structure code and adaptive strategy for link enhancement problem

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成果类型:
期刊论文
作者:
Liu, Yuhua*;Teng, Wei;Xu, Kaihua;Zhu, Haiyan
通讯作者:
Liu, Yuhua
作者机构:
[Teng, Wei; Liu, Yuhua] Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
[Zhu, Haiyan] Cent China Normal Univ, Inst Digital Space Tchnol, Wuhan 430079, Peoples R China.
通讯机构:
[Liu, Yuhua] C
Cent China Normal Univ, Dept Comp Sci, Wuhan 430079, Peoples R China.
语种:
英文
期刊:
FIRST INTERNATIONAL MULTI-SYMPOSIUMS ON COMPUTER AND COMPUTATIONAL SCIENCES (IMSCCS 2006), PROCEEDINGS, VOL 2
年:
2006
页码:
699-+
基金类别:
National Key Basic Research Project 973 [2003CB314804]; Natural Science Foundation of China [60473085]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Link enhancement problem is a combinatorial optimization problem, and genetic algorithm is suitable to, solve the combinatorial optimization problem. Commonly, the genetic algorithms are adopt one dimension code, this paper adopt the dual-structure code and Adaptive probabilities of crossover and mutation to solve the link enhancement problem. In the Simulation experiment, we compare the performance of dual-structure code genetic a...

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