Radio Link Frequency Assignment

被引:94
作者
Cabon B. [1 ]
De Givry S. [1 ]
Lobjois L. [1 ]
Schiex T. [2 ]
Warners J.P. [3 ]
机构
[1] Department of Computer Science, Natl. Off. Aerospatial Studs. Res., Studs. and Res. Center of Toulouse, Toulouse
[2] Dept. of Biometr. and Artif. Intell., Natl. Inst. for Agronomical Research, Toulouse
[3] Dept. of Tech. Math. and Informatics, Fac. of Info. Technology and Systems, Delft University of Technology, Delft
关键词
Benchmarks; Constraint satisfaction; Optimization; Radio link frequency assignment;
D O I
10.1023/A:1009812409930
中图分类号
学科分类号
摘要
The problem of radio frequency assignment is to provide communication channels from limited spectral resources whilst keeping to a minimum the interference suffered by those whishing to communicate in a given radio communication network. This problem is a combinatorial (NP-hard) optimization problem. In 1993, the CELAR (the French "Centre d'Electronique de l'Armement") built a suite of simplified versions of Radio Link Frequency Assignment Problems (RLFAP) starting from data on a real network [15]. Initially designed for assessing the performances of several Constraint Logic Programming languages, these benchmarks have been made available to the public in the framework of the European EUCLID project CALMA (Combinatorial Algorithms for Military Applications). These problems should look very attractive to the CSP community: the problem is simple to represent, all constraints are binary and involve finite domain variables. They nevertheless have some of the flavors of real problems (including large size and several optimization criteria). This paper gives essential facts about the CELAR instances and also introduces the GRAPH instances which were generated during the CALMA project.
引用
收藏
页码:79 / 89
页数:10
相关论文
共 21 条
[11]  
Kolen A., A Genetic Algorithm for the Partial Binary Satisfaction Problem: An Application to a Frequency Assignment Problem
[12]  
Lanfear T.A., Graph Theory and Radio Frequency Assignment, (1989)
[13]  
Mackworth A.K., Consistency in networks of relations, Artificial Intelligence, 8, pp. 99-118, (1977)
[14]  
Peterson C., Soderberg B., A new method for mapping optimization problems onto neural networks, Int. Journal of Neural Systems, 1, 1, pp. 3-22, (1989)
[15]  
Roisnel C., Étude Comparative D'outils de Programmation par Contraintes - Synthèse et Résultats, (1993)
[16]  
Schiex T., Fargier H., Verfaillie G., Valued constraint satisfaction problems: Hard and easy problems, IJCAI, pp. 631-637, (1995)
[17]  
Schiex T., Regin J.-C., Gaspin C., Verfaillie G., Lazy arc consistency, Proc. of AAAI-96, (1996)
[18]  
Tiourine S., Hurkens C., Lenstra J.K., An Overview of Algorithmic Approaches to Frequency Assignment Problems, (1995)
[19]  
Van Benthem H.P., GRAPH: Generating Radio Link Frequency Assignment Problems Heuristically, (1995)
[20]  
Van Den Bout D.E., Miller T.K., Graph Partitioning using Annealed Neural Networks, Proc. of IJCNN-89, pp. 521-528, (1989)