A fireworks algorithm (FWA) is a recent swarm intelligence algorithm that is inspired by observing fireworks explosions. An adaptive fireworks algorithm (AFWA) proposes additional adaptive amplitudes to improve the performance of the enhanced fireworks algorithm (EFWA). The purpose of this paper is to add opposition-based learning (OBL) to AFWA with the goal of further boosting performance and ...

In view of the dynamics dam safety monitoring data, sensitivity to time and space, nonlinearity, it has been proposed use firefly algorithm search determine delay order number hidden layer units combine them with nonlinear autoregressive algorithms. The algorithms are combined obtain FA-NAR deformation prediction model, which is compared traditional BP results, Xiaolangdi data for prediction, p...

Uniaxial compressive strength (UCS) is a significant parameter in mining engineering and rock engineering. The laboratory test time-consuming economically costly. Therefore, developing reliable accurate UCS prediction model through easily obtained parameters good way. In this paper, we set five input compare six hybrid models based on BP neural network swarm intelligence optimization algorithms...

In this paper, an algorithm for the maximum extraction of energy generated by photovoltaic (PV) systems was presented. The tracking global point system is complex due to non-linearity current-voltage (I-V) characteristic curve modules, as they vary according temperature and solar irradiation in module. To obtain best efficiency these systems, it important that generation delivering power availa...

Image processing is one of the essential tasks to extract suspicious region and robust features from the Magnetic Resonance Imaging (MRI). A numbers of the segmentation algorithms were developed in order to satisfy and increasing the accuracy of brain tumor detection. In the medical image processing brain image segmentation is considered as a complex and challenging part. Fuzzy c-means is unsup...

This paper considers a truck scheduling problem in a multiple cross docks while there is temporary storage in front of the shipping docks. Receiving and shipping trucks can intermittently move in and out of the docks during the time intervals between their task execution, in which trucks can enter to any of the cross docks. Thus, a mixed-integer programming (MIP) model for multiple cross docks ...

In this paper, optimal multi-level image segmentation is proposed using the Firefly Algorithm (FA). In this work, RGB histogram of the image is considered for bi-level and multi-level segmentation. Optimal thresholds for each colour component are attained by maximizing Otsu’s between-class variance function. The proposed segmentation procedure is demonstrated using standard RGB dataset and vali...

A Firefly Algorithm (FA) based on Fuzzy PID controller is proposed in this paper to solve the Load Frequency Control (LFC) problem in a deregulated environment. In multi area electric power systems, if a large load is suddenly connected (or disconnected) to the system, or if a generating unit is suddenly disconnected by the protection equipment, there will be a long-term distortion in the power...

Real time navigation is still challenge in mobile robotics. The challenge interacts with decision and optimization of obstacle avoidance and path distance respectively, when robot moves from initial position to target position in complex crowded environment. This paper develops the efficient navigational controller by using modified Firefly Algorithm (FA) which is studied over Normal Probabilit...

Metaheuristic algorithms, especially those based on swarm intelligence (SI), form an important part of contemporary global optimization algorithms (Kennedy and Ebarhart, 1995; Yang, 2008; Auger and Teytaud, 2010; Auger and Doerr, 2010; Blum and Roli, 2003; Neumann and Witt 2010; Parpinelli and Lopes, 2011). Good examples are particle swarm optimization (PSO) (Kennedy and Eberhart, 1995) and fir...