In data grid, using reservation is accepted to provide scheduling and service quality. Users need to have an access to the stored data in geographical environment, which can be solved by using replication, and an action taken to reach certainty. As a result, users are directed toward the nearest version to access information. The most important point is to know in which sites and distributed sy...

Abstract Firefly algorithm (FA) is a new random swarm search optimization that modeled after movement and the mutual attraction of flashing fireflies. The number fitness comparisons attractions in FA varies depending on model. A large can induce oscillations, while small cause early convergence add to computational time complexity. This study aims offer H-GA–FA, hybrid combines two metaheuristi...

The optimal performance of solar panels is very important to produce maximum electrical energy. Solar can work optimally when equipped with a tracker. panel tracker works by following the sun's movement. A Proportional, Integral, Derivative (PID) based control used optimize An tuning needed get PID parameter. Firefly method an intelligent that be parameters. Three Algorithm (FA) parameters are ...

Unit commitment (UC) problem tries to schedule output power of generation units to meet the system demand for the next several hours at minimum cost. UC adds a time dimension to the economic dispatch problem with the additional choice of turning generators to be on or off.  In this paper, in order to improve both the exploitation and exploration abilities of the firefly algorithm (FA), a new mo...

Firefly algorithm is an optimization algorithm which mimics the behavior of fireflies to solve problems. In this paper, firefly algorithm with mutation is researched and the performance effect of parameter settings is studied in order to show which setting is more suitable for solving optimization problems. It is tested on ten standard function problems and compared with original firefly algori...

<span>This study proposed a hybrid approach of firefly algorithm (FA) and ant colony optimization (ACO) for solving multi-depot multiple traveling salesman problem, TSP with more than one departure city. The FA is fast converging but easily trapped into the local optimum. ACO has great ability to search solution it converges slowly. To get better result convergence time, we integrate find...

Nature-inspired search algorithms have proved to be successful in solving real-world optimization problems. Firefly algorithm is a novel meta-heuristic algorithm which simulates the natural behavior of fireflies. In the present study, optimum design of truss structures with both sizing and geometry design variables is carried out using the firefly algorithm. Additionally, to improve the efficie...

Drought monitoring and prediction have important roles in various aspects of hydrological studies. In the current research, standardized precipitation index (SPI) was monitored predicted Peru between 1990 2015. The study proposed a hybrid model, called ANN-FA, for SPI time scales (SPI3, SPI6, SPI18, SPI24). A state-of-the-art firefly algorithm (FA) has been documented as powerful tool to suppor...

in this research, an integrated inventory problem is formulated for a single-vendor multiple-retailer supply chain that works according to the vendor managed inventory policy. the model is derived based on the economic order quantity in which shortages with penalty costs at the retailers` level is permitted. as predicting customer demand is the most important problem in inventory systems and th...