Ali reza Shafiee sarvestany - Department of Mechanical Engineering, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
Mohammadjavad Mahmoodabadi - Department of Mechanical Engineering, Sirjan University of Technology, Sirjan, Iran

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.

Artificial bee colony algorithm, CGAM problem, Firefly Algorithm, Hybrid optimization algorithm