FA-ABC: A Novel Combination of Firefly Optimization Algorithm and Artificial Bee Colony for Mathematical Test Functions and Real-World Problems
Subject Areas :
optimization and simulation
Ali reza Shafiee sarvestany
1
,
Mohammadjavad Mahmoodabadi
2
1 - Department of Mechanical Engineering,
Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
2 - Department of Mechanical Engineering,
Sirjan University of Technology, Sirjan, Iran
Received: 2021-09-09
Accepted : 2022-01-05
Published : 2022-06-01
Keywords:
Artificial bee colony algorithm,
Firefly Algorithm,
CGAM problem,
Hybrid optimization algorithm,
Abstract :
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.
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