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
(Department of Mechanical Engineering,
Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran)
Mohammadjavad
Mahmoodabadi
2
(Department of Mechanical Engineering,
Sirjan University of Technology, Sirjan, Iran)
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.