Assignment of cells to switches in PCS networks
IEEE/ACM Transactions on Networking (TON)
Approximation algorithms for NP-hard problems
Approximation algorithms for NP-hard problems
Optimum positioning of base stations for cellular radio networks
Wireless Networks
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
Genetic Algorithms
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
On Permutation Representations for Scheduling Problems
PPSN IV Proceedings of the 4th International Conference on Parallel Problem Solving from Nature
Computational Intelligence for Optimization
Computational Intelligence for Optimization
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This paper presents preliminary results on the comparison of binary and integer based representations for the Base Stations Location (BSL) problem. The simplest model of this problem, which is already NP-complete, is dealt with to compare also different crossover operators. Experimental results support the hypothesis that the integer based representation with a specific crossover operator outperforms the more traditional binary one for a very specific set of instances.