A Type-2 Fuzzy Multi-Objective Multi-Chromosomal Optimisation for Capacity Planning within Telecommunication Networks

In this paper, we present a novel Type-2 fuzzy multi-objective multi-chromosomal optimisation algorithm for capacity planning within telecommunication networks. The proposed system is compared to one of the most successful multi-objective optimisation algorithms which is NSGA-II. This comparison sho...

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Bibliographic Details
Published in2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) pp. 1 - 8
Main Authors Veryard, Lewis, Hagras, Hani, Conway, Anthony, Owusu, Gilbert
Format Conference Proceeding
LanguageEnglish
Published IEEE 11.07.2021
Subjects
Capacity planning
Communications technology
Conferences
Fuzzy logic
Fuzzy systems
Multi-Chromosomal Optimisation
Multi-Objective Optimisation
Optimization
Telecommunications
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Summary:In this paper, we present a novel Type-2 fuzzy multi-objective multi-chromosomal optimisation algorithm for capacity planning within telecommunication networks. The proposed system is compared to one of the most successful multi-objective optimisation algorithms which is NSGA-II. This comparison shows that in the capacity planning problems the proposed algorithm can produce a better solution front than NSGA-II in 80% - 93 % of cases. Additionally the use of Type-2 fuzzy logic produces a better solution front in 72% of cases when compared to using Type-1 fuzzy logic.
ISSN:1558-4739
DOI:10.1109/FUZZ45933.2021.9494391