Abstract: “Nature inspired meta-heuristic algorithms are iterative search processes which find near optimal solutions by efficiently performing exploration and exploitation of the solution space. Considering the solution space in a specified region, this work compares performances of Bat, Cuckoo search and Firefly algorithms for unconstrained optimization problems. Global optima are found using various test functions of different characteristics.”

Keywords: Firefly Algorithm, Bat Algorithm, Cuckoo Search Algorithm, Unconstrained Optimization, Benchmark Functions, Nature-Inspired Algorithms.