Modern heuristic techniques for combinatorial problems
Modern heuristic techniques for combinatorial problems
IATA '98 Proceedings of the second international workshop on Intelligent agents for telecommunication applications
Mobile communications
Optimum positioning of base stations for cellular radio networks
Wireless Networks
Self-Localisation in the ‘Senario’ Autonomous Wheelchair
Journal of Intelligent and Robotic Systems
A comparison of randomized and evolutionary approaches for optimizing base station site selection
Proceedings of the 2004 ACM symposium on Applied computing
The infrastructure efficiency of cellular wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Going the last mile: a spatial decision support system for wireless broadband communications
Decision Support Systems
The infrastructure efficiency of cellular wireless networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
An investigation into the merger of stochastic diffusion search and particle swarm optimisation
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Probabilistic stochastic diffusion search
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
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The location of transmission infrastructure for wireless communication networks is an important engineering problem involving competing objectives. A minimal selection of locations (or sites) are required subject to providing adequate area coverage for users. In this paper we present a general model for this problem, related to circle packing and set covering. We show that the pattern matching algorithm known as stochastic diffusion search can be applied to identify suitable solutions even for large problem instances.