Parallel island-based genetic algorithm for radio network design
Journal of Parallel and Distributed Computing - Special issue on parallel evolutionary computing
Alternate path routing for multicast
IEEE/ACM Transactions on Networking (TON)
Parallel Genetic Algorithms for Third Generation Mobile Network Planning
PARELEC '04 Proceedings of the international conference on Parallel Computing in Electrical Engineering
Application of the parameter-free genetic algorithm to the fixed channel assignment problem
Systems and Computers in Japan
Automatic mesh generation for mobile network dimensioning using evolutionary approach
IEEE Transactions on Evolutionary Computation
Optimal antenna placement using a new multi-objective chc algorithm
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Optimal Wireless Sensor Network Layout with Metaheuristics: Solving a Large Scale Instance
Large-Scale Scientific Computing
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In this article we solve the radio network design problem (RND). This NP-hard combinatorial problem consist of determining a set of locations for placing radio antennae in a geographical area in order to offer high radio coverage using the smallest number of antennae. This problem is originally found in mobile telecommunications (such as mobile telephony), and is also relevant in the rising area of sensor networks. In this work we propose an evolutionary algorithm called CHC as the state of the art technique for solving RND problems and determine its expected performance for different instances of the RND problem.