Search Results - (( java implementation path algorithm ) OR ( changes wolf optimization algorithm ))

Alternative method for economic dispatch utilizing grey wolf optimizer by Wong, Lo Ing

“…Small Alternative method for economic dispatch utilizing grey wolf optimizer improvements in optimal output scheduling can contribute significantly in term of cost savings. …”
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Grey Wolf Optimizer for the Nurse Rostering Problem by Ngoo, Chong Man, Goh, Say Leng, Jonathan Likoh Juis @ Juise

“…Experiments are carried out to set parameter values for the algorithm to run optimally. The population size of 10 is the most effective for the proposed GWO. …”
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Binary Grey Wolf Optimizer with K-Nearest Neighbor classifier for Feature Selection by Al-Wajih, R., Abdulakaddir, S.J., Aziz, N.B.A., Al-Tashi, Q.

“…In this paper, we assessed the changes in the accuracy of Binary Grey Wolf Optimizer (BGWO) at varying a function of iteration number (50,100,150 and 200) and population size (10,20,30) in four benchmark datasets. …”
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Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization by Shaikh, Muhammad Suhail, Wang, Chang, Xie, Senlin, Zheng, Gengzhong, Dong, Xiaoqing, Qiu, Shuwei, Mohd Ashraf, Ahmad, Raj, Saurav

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Heavy Transportation Shortest Route using Dijkstra’s algorithm (HETRO) / Nurul Aqilah Ahmad Nezer by Ahmad Nezer, Nurul Aqilah

“…The development tools used in developing this project is NetBeans by using Java for the implementation of the coding. The methodology that used for developing this system is the Dijkstra’s algorithm. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization by Mohammad Ata, Karimeh Ibrahim

“…BST inserts the nodes in the way that the Dijkstra’s can find the empty parking in fastest way. Dijkstra’s algorithm initials the paths to finding the shortest path while ACO optimizes the paths. …”
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Optimal tuning of virtual inertia control for frequency regulation of microgrid by Fadheel, Bashar Abbas, Abdul Wahab, Noor Izzri, Mahdi, Ali Jafer, Mohd Radzi, Mohd Amran, Che Soh, Azura, Mohammed Ridha, Hussein, Veerasamy, Veerapandiyan

“…The simulation results demonstrate a substantial improvement in mitigating the low inertia of the power system when exposed to consecutive rapid load changes, utilizing the suggested algorithm on comparing with the hybrid sparrow search algorithm based on grey wolf optimizer. © 2021 IEEE.…”
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Path planning for unmanned aerial vehicle (UAV) using rotated accelerated method in static outdoor environment by Shaliza Hayati A. Wahab, Nordin Saad, Azali Saudi, Ali Chekima

“…In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. …”
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Smart appointment organizer for mobile application / Mohd Syafiq Adam by Adam, Mohd Syafiq

“…The main component of this prototype is the use of Dijkstra algorithm to compute the shortest path from source of appointment to the 6 points of destinations within UiTM Shah Alam. …”
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Integration of GWO-LSSVM for time series predictive analysis by Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Bariah, Yusob, Ernawan, Ferda

“…Thus, for this study, a hybrid algorithm of LSSVM with one of the recent bio-inspired optimization algorithm, namely Grey Wolf Optimizer (GWO-LSSVM) is presented for water level prediction. …”
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Solving the optimal reactive power dispatch problem based on moth-flame optimizer for power system operation and planning by Zuriani, Mustaffa, Mohd Herwan, Sulaiman, Muhammad Ikram, Mohd Rashid, Rebecca Ng, Shin Mei, Nidzamuddeen, Ishak, Hamdan, Daniyal

“…The effectiveness of MFO is tested on IEEE-30 bus system with 25 control variables and the comparison with other recent algorithms such as grey wolf optimizer (GWO), ant-lion optimizer (ALO) and multi-verse optimizer (MVO) also will be presented in this paper.…”
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Hybridized Intelligent Neural Network Optimization Model for Forecasting Prices of Rubber in Malaysia by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Saratha Sathasivam, Saratha Sathasivam, Majid Khan bin Majahar Ali, Majid Khan bin Majahar Ali, K. G. Tay, K. G. Tay, Muraly Velavan, Muraly Velavan

“…These algorithms, including Grey Wolf Optimization Algorithm, Artificial Bee Colony Algorithm, and Particle Swarm Optimization Algorithm were utilized in the forecasting data analysis. …”
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Hybridized Intelligent Neural Network Optimization Model for Forecasting Prices of Rubber in Malaysia by Shehab Abdulhabib Alzaeemi, Shehab Abdulhabib Alzaeemi, Saratha Sathasivam, Saratha Sathasivam, Majahar Ali, Majid Khan, K. G. Tay, K. G. Tay, Muraly Velavan, Muraly Velavan

“…These algorithms, including Grey Wolf Optimization Algorithm, Artificial Bee Colony Algorithm, and Particle Swarm Optimization Algorithm were utilized in the forecasting data analysis. …”
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Advancing voltage control in DC microgrids: a comparative study with IGWO-based H∞ control by Kavousighahfarokhi, Arash, Mohd Radzi, Mohd Amran, Noorbakhsh, S. Mohammad, Khorshidi, Elahe, Hematzadeh Dastgerdi, Pedram, Karimi, Mojtaba, Torki Harchegani, Amir

“…This paper proposes the utilization of an Improved gray Wolf Optimization (IGWO) algorithm-based H-infinity (H∞) control approach to enhance traditional droop control techniques and address instability concerns. …”
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Recent methodology based Harris Hawks optimizer for designing load frequency control incorporated in multi-interconnected renewable energy plants by Yousri D., Babu T.S., Fathy A.

“…Different cases of load disturbance are studied, and the obtained results via the HHO are compared to Sine Cosine Algorithm (SCA), Multi-verse optimizer (MVO), Antlion Optimizer (ALO), and Grey wolf optimizer (GWO) as well as traditional controller. …”

A new teaching learning artificial bee colony based maximum power point tracking approach for assessing various parameters of photovoltaic system under different atmospheric condit... by Dokala Janandra, Krishna Kishore

“…Besides, the performance of the Renewable Energy (RE)-based system has to be enriched with regard to settling time, accuracy, speed, and efficiency. Hence, to optimize the cost of integrating RES‘s through newly developed maximum power point tracking (MPPT) based optimization method such as grasshopper optimization algorithm (GOA) has been introduced. …”
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Evolutionary cost-cognizant regression test case prioritization for object-oriented programs by Bello, AbdulKarim

“…Therefore, this study proposed a cost-cognizant TCP approach for object-oriented software that uses path-based integration testing to identify the possible execution path extracted from the Java System Dependence Graph (JSDG) model of the source code using forward slicing technique. …”
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