FA-ABC: A Novel Combination of Firefly Optimization Algorithm and Artificial Bee Colony for Mathematical Test Functions and Real-World Problems

In this research study, an attempt is made to present a new optimization scheme by combination of the firefly algorithm and artificial bee colony (FA-ABC) to solve mathematical test functions and real-world problems as best as possible. In this regard, the main operators of the two meta-heuristic al...

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Bibliographic Details
Published inInternational journal of advanced design and manufacturing technology Vol. 15; no. 2; pp. 69 - 82
Main Authors Ali reza Shafiee sarvestany, Mohammadjavad Mahmoodabadi
Format Journal Article
LanguageEnglish
Published Islamic Azad University-Isfahan (Khorasgan) Branch 01.06.2022
Subjects
artificial bee colony algorithm
cgam problem
firefly algorithm
hybrid optimization algorithm
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Summary:In this research study, an attempt is made to present a new optimization scheme by combination of the firefly algorithm and artificial bee colony (FA-ABC) to solve mathematical test functions and real-world problems as best as possible. In this regard, the main operators of the two meta-heuristic algorithms are employed and combined to utilize both advantages. The results are compared with those of five prominent well-known approaches on sixteen benchmark functions. Moreover, thermodynamic, economic and environmental modeling of a thermal power plant known as the CGAM problem is represented. The proposed FA-ABC algorithm is used to reduce the total cost and increase the efficiency of the system as shown in the Pareto front diagrams.
ISSN:2252-0406
2383-4447
DOI:10.30486/admt.2022.1940026.1314