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

页码：960 / 969

页数：10

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