In this paper, a quaternion firefly algorithm is utilized to solve a multi-row facility layout design problem with the objective of minimizing the total cost of transportation. A quaternion firefly algorithm takes the motion of the firefly as a quaternion one. Consequently, the solution space is explored more accurately and the answers are of higher quality. That is, the answers are considerabl...

Several variable selection algorithms in multivariate calibration can be accelerated using Graphics Processing Units (GPU). Among these algorithms, the Firefly Algorithm (FA) is a recent proposed metaheuristic that may be used for variable selection. This paper presents a GPU-based FA (FA-MLR) with multiobjective formulation for variable selection in multivariate calibration problems and compar...

Today, in computer science, a computational challenge exists in finding a globally optimized solution from an enormously large search space. Various meta-heuristic methods can be used for finding the solution in a large search space. These methods can be explained as iterative search processes that efficiently perform the exploration and exploitation in the solution space. In this context, thre...

This paper presents the simulation and analysis of maximum power point tracking (MPPT) control with modified firefly algorithm (MFA) for photovoltaic (PV) system. The availability of solar energy varies widely with ambient temperature and different atmospheric conditions and hence the maximum power point (MPP) of PV system is not stable. Therefore, a MPPT controller is needed to operate the PV ...

This article proposes a novel MPPT algorithm based on the firefly and elite ant system-trained Elman neural network (FA-EAS-ElmanNN). First, position of fireflies is randomly initialized by (FA), meanwhile individuals with higher attractiveness degree value are selected as optimal solution. Second, extra pheromones artificially released to boost positive feedback effect convergence rate system ...

In this paper we improved efficiency of black holes algorithm with using of fuzzy Hawking radiation. A black hole is a region of space-time whose gravitational field is so strong that nothing which enters it, not even light, can escape. In the black holes algorithm there is a phase with name Hawking radiation. In this phase the position of the some black hole changes a little. This phase as equ...

This work presents an alternative to the conventional photovoltaic maximum power point tracking (MPPT) methods, by using opposition-based learning firefly algorithm (OFA) that improves performance of Photovoltaic (PV) system both in uniform irradiance changes and partial shading conditions. The is based on fireflies’ search for food, according which individuals emit progressively more intense g...

Received Nov 22, 2017 Revised Jan 20, 2018 Accepted Feb 23, 2018 This paper projects an Integrated Algorithm (IA) for solving optimal reactive power problem. Quick convergence of the Cuckoo Search (CS), the vibrant root change of the Firefly Algorithm (FA), and the incessant position modernization of the Particle Swarm Optimization (PSO) has been combined to form the Integrated Algorithm (IA). ...