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.

A cDNA library was constructed from firefly (Photinus pyralis) lantern poly(A)+ RNA, using the Escherichia coli expression vector lambda gt11. The library was screened with anti-P. pyralis luciferase (Photinus luciferin:oxygen 4-oxidoreductase, EC 1.13.12.7) antibody, and several cDNA clones expressing luciferase antigens were isolated. One clone, lambda Luc1, contained 1.5 kilobase pairs of cD...

In this paper, a novel hybrid optimization algorithm, which combines a firefly algorithms and Artificial Bee Colony algorithm (FFAABC), is proposed for solving the economic power dispatch (EPD) problem. The hybrid algorithm is structured with two stages. The first stage uses the search by firefly algorithm (FFA) and second stage is a search with Artificial Bee Colony algorithm (ABC). The hybrid...

As a new swarm intelligence optimization method, firefly algorithm shows good performance on many complex optimization problems. However, due to the fixed parameters of FA, it is difficult to adapt to environmental changing during the iteration process, and FA easily lose its diversity and lead to premature convergence. In this paper, an adaptive step firefly algorithm based on population diver...

In order to minimize the total active power loss and improve the voltage profile of the power system, several solutions have been proposed, including the integration of Distributed Generation (DG) in the radial distribution network. The location and size of DG are important, because a wrong choice has a negative impact on the system behavior. Several researchers have used many methods for solvi...

Recently we found that firefly luciferase is a bifunctional enzyme, catalyzing not only the luminescence reaction but also long-chain fatty acyl-CoA synthesis. Further, the gene product of CG6178 (CG6178), an ortholog of firefly luciferase in Drosophila melanogaster, was found to be a long-chain fatty acyl-CoA synthetase and dose not function as a luciferase. We investigated the substrate speci...

Photinus pyralis (firefly) luciferase is widely used as a reporter system to monitor alterations in gene promoter and/or signalling pathway activities in vitro. The enzyme catalyses the formation of oxyluciferin from D-luciferin in an ATP-consuming reaction involving photon emission. The purpose of the present study was to characterize the luciferase-inhibiting potential of (E)-2-fluoro-4'-meth...

Firefly Algorithm (FA) is one of the recent swarm intelligence methods developed by Xin-She Yang in 2008 [12]. FA is a stochastic, nature-inspired, metaheuristic algorithm that can be applied for solving the hardest optimization problems. The main goal of this paper is to analyze the influence of changing some parameters of the FA when solving bound constrained optimization problems. One of the...