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 te...

This paper introduces two heuristic algorithms and illustrates the similarities and differences between the two algorithms; in the end, through the empirical analysis to find their respective advantages. This paper mainly focuses on the firefly algorithm, which is a new type of algorithm, inspired by the fluorescence information exchange between the fireflies in the nature. By comparative analy...

The aim of this study is to propose an algorithm for generating minimal test sequences by applying Firefly optimization technique. In this study, we use state machine diagram for the behavioral specification of software. This paper generates the important test sequences for composite states in the state machine diagram under consideration. The generated test sequences are then prioritized based...

Due to limited resources and challenging time schedule, software testing is usually performed in pressure to assure the fulfilment of the software requirements. Test case generation is a crucial activity of the software testing phase. Testing of all paths from Control Flow Graph is not feasible in software testing, due to limited time and cost. Generation of optimized test paths is a challengin...

Firefly luciferases are widely used as bioluminescent reporter genes for bioimaging and biosensors. Aiming at simultaneous analyses of different gene expression and cellular events, luciferases and GFPs that exhibit distinct bioluminescence and fluorescence colors have been coupled with each promoter, making dual and multicolor reporter systems. Despite their wide use, firefly luciferase biolum...

Reconfigurable antenna arrays are often capable of radiating multiple patterns by modifying the excitation phases of the elements. In this paper a method based on Firefly Algorithm (FA) has been proposed to obtain dual radiation pattern from a concentric ring array of isotropic elements, by finding out two different combinations of states for the switches, which are assumed to be connected with...

Optimization of leakage power is essential for nanoscale CMOS (nano-CMOS) technology based integrated circuits for numerous reasons, including improving battery life of the system in which they are used as well as enhancing reliability. Leakage optimization at an early stage of the design cycle such as the register-transfer level (RTL) or architectural level provides more degrees of freedom to ...

Nature inspired algorithms for their powerfulness, acquire a unique place among the algorithms for optimization. This paper intends to provide a comparison of firefly algorithm (FA) with 3 other nature inspired algorithms; genetic algorithms (GA), particle swarm optimization algorithm (PSO) and ant colony systems (ACS). Traveling salesman problem (TSP) has been used as the problem to be solved ...

This paper presents a literature review about Particle Swarm Optimization (PSO), Firework, Firefly, Clonal Selection, and Cuckoo Search algorithms, which are among the most common natural-inspired optimization algorithms. These algorithms were tried on different benchmark functions. The obtained results analyzed, performance was compared. showed that PSO Firefly provided best in studied cases.