Minimizing interference in mobile communications using genetic algorithms

被引：0
|
作者：
Li, S [1 ]
Lay, SC [1 ]
Yu, WH [1 ]
Wang, LP [1 ]
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
来源：
COMPUTATIONAL SCIENCE-ICCS 2002, PT I, PROCEEDINGS | 2002年 / 2329卷
关键词：
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：
There is a continuously growing demand for mobile communication. With the limited frequency spectrum, the problem of channel assignment becomes increasingly important. This problem is known to belong to a class of very difficult combinatorial optimization problems. In this paper, we apply the formulation of Ngo and Li with genetic algorithms to ten benchmarking problems, for some of which interference-free solutions cannot be found but the approach is able to minimize the interference effectively.
引用
收藏
页码：960 / 969
页数：10
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