Institute of Electrical and Electronics Engineers, IEEE Communications Letters, 12(18), p. 2189-2192, 2014
DOI: 10.1109/lcomm.2014.2363670
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This letter presents a rule-based solution search (RBSS) algorithm for self-optimization in a cellular network. It improves the solution search process of classical optimization methodologies by including a set of rules that capture the knowledge of how a given problem can be solved. The results obtained in a scenario using measurements from a real network reveal that including the RBSS algorithm achieves reductions of up to 60% and 90% in the convergence time of Particle Swarm and Genetic Algorithms, respectively. ; Peer Reviewed ; Postprint (published version)