Veryard, Lewis and Hagras, Hani and Conway, Anthony and Owusu, Gilbert (2023) A Heated Stack based Type-2 Fuzzy Multi-Objective Optimisation System for Telecommunications Capacity Planning. Knowledge-Based Systems, 260. p. 110134. DOI https://doi.org/10.1016/j.knosys.2022.110134
Veryard, Lewis and Hagras, Hani and Conway, Anthony and Owusu, Gilbert (2023) A Heated Stack based Type-2 Fuzzy Multi-Objective Optimisation System for Telecommunications Capacity Planning. Knowledge-Based Systems, 260. p. 110134. DOI https://doi.org/10.1016/j.knosys.2022.110134
Veryard, Lewis and Hagras, Hani and Conway, Anthony and Owusu, Gilbert (2023) A Heated Stack based Type-2 Fuzzy Multi-Objective Optimisation System for Telecommunications Capacity Planning. Knowledge-Based Systems, 260. p. 110134. DOI https://doi.org/10.1016/j.knosys.2022.110134
Abstract
In this paper, we present the Heated Stack Algorithm (HS) which is a population based multi-objective evolutionary algorithm with temperature based on type-2 fuzzy logic meta-heuristic. Temperature plays a vital role in HS being used for two distinct procedures; Sorting and Crossover. In sorting, temperature is combined with the niche distance to determine the rank order of a population front. In crossover, the temperature of two population members are compared to determine the quantity of information to take from each parent. HS is a new optimisation algorithm capable of solving constrained real-world problems. This paper will present the HS application to a real-world capacity planning problem involving networking infrastructure. To proof the algorithm applicability to wider set of problems, we will report the HS results over a subset of the constrained multi objective problems used for optimisation competitions by the IEEE Congress on Evolutionary Computation (CEEC). In these problems we have compared to the popular NSGA-II and its successor NSGA-III. By use of the hyper-volume indicator, we find that the HS outperforms NSGA-II in 84% of cases, and outperforms NSGA-III in 69% of the cases.
Item Type: | Article |
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Uncontrolled Keywords: | Heated Stack; Optimisation; Fuzzy logic; Capacity Planning; Telecommunications |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 23 Dec 2022 13:36 |
Last Modified: | 16 May 2024 21:34 |
URI: | http://repository.essex.ac.uk/id/eprint/33939 |
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