Performance evaluation of a new modified firefly algorithm

New advancements in Meta-heuristics have forced the researchers to modify the existing algorithms in order to make them widely applicable to a large pool of complex problem set. Firefly Algorithm being a new nature-inspired algorithm has been used extensively for solving various optimization problems. The standard version namely, Standard Firefly Algorithm(SFA) was introduced in 2008 which uses the flashing behaviour of fireflies during night to obtain an optimization solution to a given problem. Two new modified variants of the SFA were introduced in 2012 which eliminated some of the limitations of the SFA. In this work, a new modified version of the current algorithm namely, New Modified Firefly Algorithm (NMFA) has been proposed and later its performance on various parameters is compared with SFA and its two more variants. Results demonstrate that the proposed algorithm is better in performance in comparison to all the other three algorithms when executed under a given set of control parameters. Other useful results of SFA and its variants are also tabulated.