Achieving maximum network coverage with a limited number of sensor nodes is key to node deployment wireless (WSN). This paper proposes an improved marine predator algorithm (IMPA) for 3D surface deployment. A population evolution strategy based on random opposition-based learning and differential operator proposed enrich the diversity improve global search capability algorithm. The grouping ide...

Multicast device-to-device (D2D) communication technology is considered as one of the new technologies in fifth generation (5G) networks that directly addresses need for content sharing among internet users. In fact, when direct available between devices, spectral efficiency improved by reusing licensed cellular spectrum. The current studies show D2D increases network capacity and reduces laten...

Shuffled Frog Leaping Algorithm (SFLA) is one of the most widespread algorithms. It was developed by Eusuff and Lansey in 2006. SFLA a population-based metaheuristic algorithm that combines benefits memetics with particle swarm optimization. has been used various areas, especially engineering problems due to its implementation easiness limited variables. Many improvements have made alleviate dr...

In the context of carbon trading, energy conservation and emissions reduction are development directions integrated systems. order to meet requirements in power grid, considering different responses system time periods, a wind-hydrogen multi-time scale scheduling model was established optimize energy-consumption problem system. As is multiobjective nonlinear problem, artificial fish swarm algor...

This study aimed to determine the integrated freshness index (IFI) of eggs using Vis-NIR spectroscopy and optimized support vector regression, which gave first insight into quality from biochemical essence changes. In this work, transmission spectra brown-shell pink-shell egg samples were analyzed between 500 nm 900 nm. Standard normal variables (SNV) used normalize spectral data, Shuffled Frog...

measurement of magnitude and frequency of the voltage flicker is very important for monitoring andcontrolling voltage flicker efficiently to improve the network power quality. this paper presents twonew methods for measurement of flicker signal parameters using shuffled frog leaping algorithm(sfla) and imperialist competitive algorithm (ica). this paper estimates fundamental voltage andflicker ...

The fast increase and update of big data brings a new challenge to quickly acquire the useful information with classical attribute reduction methods. In this paper, a parallel minimum attribute co-reduction accelerator (QSMFAC) based on quantum-inspired SFLA and MapReduce framework is presented. First, a novel framework of N-populations distributed co-evolutionary cloud model is designed to div...

Today using evolutionary programing for solving complex, nonlinear mathematical problems like optimum power flow is commonly in use. These types of problems are naturally nonlinear and the conventional mathematical methods aren’t powerful enough for achieving the desirable results. In this study an Optimum Power Flow problem solved by means of minimization of fuel costs for IEEE 30 buses test s...

In this work, we present a multi-phase hybrid algorithm based on clustering to solve the multi-depots vehicle routing problem (MDVRP). The proposed algorithm initially adopts K-means algorithm to execute the clustering analyses, which take the depots as the centroids of the clusters, for the all customers of MDVRP, then implements the local depth search using the Shuffled Frog Leaping Algorithm...

Quantum-behaved particle swarm optimization (QPSO) algorithm is a global convergence guaranteed algorithms, which has been applied widely for continuous optimization problems. In this paper, we propose an improved quantum-behaved particle swarm optimization with memory according to the means of best position of particles and using sigal step seaching strategy for sovle the multidimentional prob...