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 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.