Results 81 to 90 of about 237,312 (198)

Experimentally-implemented genetic algorithm (Exp-GA): toward fully optimal photovoltaics

Optics Express, 2015
The geometry and dimension design is the most critical part for the success in nano-photonic devices. The choices of the geometrical parameters dramatically affect the device performance. Most of the time, simulation is conducted to locate the suitable geometry, but in many cases simulation can be ineffective.
Yan Kai, Zhong, Sze Ming, Fu, Nyan Ping, Ju, Po Yu, Chen, Albert, Lin   +4 more
openaire   +2 more sources

Faults locating of power distribution systems based on successive PSO-GA algorithm

Scientific Reports
As the terminal of the power system, the distribution network is the main area where failures occur. In addition, with the integration of distributed generation, the traditional distribution network becomes more complex, rendering the conventional fault ...
Wenzhang Xu, Jiachun Li, Lv Yang, Quan Yu   +3 more
doaj   +1 more source

GA-PSO Algorithm for Microseismic Source Location

Applied Sciences
Accurate source location is a critical component of microseismic monitoring and early warning systems. To improve the accuracy of microseismic source location, this manuscript proposes a GA-PSO algorithm that combines the Genetic Algorithm (GA) with ...
Yaning Han, Fanyu Zeng, Liangbin Fu, Fan Zheng   +3 more
doaj   +1 more source

Dual Population Genetic Algorithm (GA) versus OpenMP GA for Multimodal Function Optimization

International Journal of Computer Applications, 2013
algorithms (GAs) are useful for solving multimodal problems. It is quite difficult to search the search space of the multimodal problem with large dimensions. There is a challenge to use all the core of the system. The Dual Population GA (DPGA) attempts to explore and exploit search space on the multimodal problems.
M. S. Joshi, A. J.Umbarkar
openaire   +1 more source

Power optimization of planar redundant manipulator moving along constrained-end trajectory using hybrid techniques

Alexandria Engineering Journal, 2017
Optimum trajectory planning for a planar redundant manipulator which consumes minimum power is considered in this paper. The equations of motion for the manipulator are derived in matrix form using Lagrange Equation.
Mohamed M.Y.B. Elshabasy, Khaled T. Mohamed, Atef A. Ata   +2 more
doaj   +1 more source

Power System Stabilizer Tuning Based on Multiobjective Design Using Hierarchical and Parallel Micro Genetic Algorithm

, 2004
In order to achieve the optimal design based on some specific criteria by applying conventional techniques, sequence of design, selected locations of PSSs are critical involved factors.
Dechanupaprittha, Sanchai, Hongesombut, Komsan, Mitani, Yasunori, Ngamroo, Issarachai, Pasupa, Kitsuchart, Tippayachai, Jarurote   +5 more
core   +1 more source

Solar Cell Parameters Extraction from a Current- Voltage Characteristic Using Genetic Algorithm [PDF]

, 2013
The determination of solar cell parameters is very important for the evaluation of the cell performance as well as to extract maximum possible output power from the cell. In this paper, we propose a computational based binary-coded genetic algorithm (GA)
Kheraj, Vipul, Panchal, Ashish K., Patel, Sanjaykumar J.   +2 more
core  

Optimization of personnel evacuation routes for sudden nuclear accidents based on hybrid genetic-grey wolf optimizer algorithm

Nuclear Engineering and Technology
To address the emergency situation resulting from a sudden nuclear accident, it is imperative to develop an optimal emergency response plan that ensures the prompt and safe evacuation of affected individuals from the hazardous area.The paper proposed the
Dong Xiao, Jianxin Li, Zixuan Zhang, Zhengmin Gu, Yanhua Fu, Jinbo Niu   +5 more
doaj   +1 more source

Backpropagation neural network based image restoration algorithm optimized using hybrid genetic algorithm

Discover Artificial Intelligence
Backpropagation neural networks (BPNNs) can be used to restore images; however, the error surface of the BPNN algorithm contains several local minima, making it easy to slip into suboptimal solutions.
Qiqi Gao, Tuo Hua
doaj   +1 more source

Genetic algorithms (GA) for adaptable design

, 2017
This thesis discusses the process of implementing and testing of a creative web element design system using a combination of genetic algorithms and K-nearest neighbor classification. Classification will be used as a learning mechanism to give the system the ability to absorb quality measures in regards to visual aesthetics, and utilize this knowledge to ...
openaire   +1 more source