Ordered Fuzzy Numbers Applied in Bee Swarm Optimization Systems

The paper presents an innovative OFNBee optimization method based on combining the swarm intelligence with the use of directed fuzzy numers OFN. In the introduction, the issues related to the subject of the study, including bee algorithms and OFN numbers, were reviewed. The innovative OFNBee algorit...

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Main Authors: Dawid Ewald, Hubert Zarzycki, Łukasz Apiecionek, Jacek Czerniak
Format: Article
Language:English
Published: Graz University of Technology 2020-11-01
Series:Journal of Universal Computer Science
Subjects:
Online Access:https://lib.jucs.org/article/24149/download/pdf/
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author Dawid Ewald
Hubert Zarzycki
Łukasz Apiecionek
Jacek Czerniak
author_facet Dawid Ewald
Hubert Zarzycki
Łukasz Apiecionek
Jacek Czerniak
author_sort Dawid Ewald
collection DOAJ
description The paper presents an innovative OFNBee optimization method based on combining the swarm intelligence with the use of directed fuzzy numers OFN. In the introduction, the issues related to the subject of the study, including bee algorithms and OFN numbers, were reviewed. The innovative OFNBee algorithm was presented and verified against a set of known benchmarks functions such as Sphere, Rastrigin, Griewank, Rosenbrock, Schwefel and Ackley. These functions have been applied due to their reliability in the literature. In the further part of the study, the configuration of the algorithm parameters is carried out, including the launch of each mathematical function several dozen times for different data, such as different population sizes. The key part of the research and analysis was to compare OFNBee with six standard ABC, MBO, IMBO, TLBO, HBMO, BBMO bee algorithms. The article ends with a summary and an indication of the possible future works.
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spelling doaj.art-5eb490afb65340c2829fcfdd8e63b34a2022-12-21T22:53:33ZengGraz University of TechnologyJournal of Universal Computer Science0948-69682020-11-0126111475149410.3897/jucs.2020.07824149Ordered Fuzzy Numbers Applied in Bee Swarm Optimization SystemsDawid Ewald0Hubert Zarzycki1Łukasz Apiecionek2Jacek Czerniak3Casimir the Great University in BydgoszczGeneral Tadeusz Kosciuszko Military Academy of Land ForcesCasimir the Great University in BydgoszczCasimir the Great University in BydgoszczThe paper presents an innovative OFNBee optimization method based on combining the swarm intelligence with the use of directed fuzzy numers OFN. In the introduction, the issues related to the subject of the study, including bee algorithms and OFN numbers, were reviewed. The innovative OFNBee algorithm was presented and verified against a set of known benchmarks functions such as Sphere, Rastrigin, Griewank, Rosenbrock, Schwefel and Ackley. These functions have been applied due to their reliability in the literature. In the further part of the study, the configuration of the algorithm parameters is carried out, including the launch of each mathematical function several dozen times for different data, such as different population sizes. The key part of the research and analysis was to compare OFNBee with six standard ABC, MBO, IMBO, TLBO, HBMO, BBMO bee algorithms. The article ends with a summary and an indication of the possible future works.https://lib.jucs.org/article/24149/download/pdf/OFNBeeOFNFuzzy logicmetaheuristicABCMBO
spellingShingle Dawid Ewald
Hubert Zarzycki
Łukasz Apiecionek
Jacek Czerniak
Ordered Fuzzy Numbers Applied in Bee Swarm Optimization Systems
Journal of Universal Computer Science
OFNBee
OFN
Fuzzy logic
metaheuristic
ABC
MBO
title Ordered Fuzzy Numbers Applied in Bee Swarm Optimization Systems
title_full Ordered Fuzzy Numbers Applied in Bee Swarm Optimization Systems
title_fullStr Ordered Fuzzy Numbers Applied in Bee Swarm Optimization Systems
title_full_unstemmed Ordered Fuzzy Numbers Applied in Bee Swarm Optimization Systems
title_short Ordered Fuzzy Numbers Applied in Bee Swarm Optimization Systems
title_sort ordered fuzzy numbers applied in bee swarm optimization systems
topic OFNBee
OFN
Fuzzy logic
metaheuristic
ABC
MBO
url https://lib.jucs.org/article/24149/download/pdf/
work_keys_str_mv AT dawidewald orderedfuzzynumbersappliedinbeeswarmoptimizationsystems
AT hubertzarzycki orderedfuzzynumbersappliedinbeeswarmoptimizationsystems
AT łukaszapiecionek orderedfuzzynumbersappliedinbeeswarmoptimizationsystems
AT jacekczerniak orderedfuzzynumbersappliedinbeeswarmoptimizationsystems