Search Results - optimal llc algorithm*

A Comparative Study on Optimal Design of LLC Resonant Converter by Intelligent Optimization Techniques by K. S. , Rama Rao, Azhar, Nur Syahirah Mohd, Hamid, Nor Hisham

“…This paper presents a comparative study by three intelligent optimization techniques to accurately determine the optimal control parameters of a 1 MHz LLC resonant dc-dc converter aimed at minimizing the losses. …”
Get full text

Nature-inspired meta-heuristics approaches for charging plug-in hybrid electric vehicle by Vasant, P., Marmolejo, J.A., Litvinchev, I., Aguilar, R.R.

“…In this study, four swarm intelligence based optimization techniques: particle swarm optimization (PSO), gravitational search algorithm (GSA), accelerated particle swarm optimization, and hybrid version of PSO and GSA (PSOGSA) have been applied for the state-of-charge optimization of PHEVs. …”
Get full text
Get full text

Nature-inspired meta-heuristics approaches for charging plug-in hybrid electric vehicle by Vasant, P., Marmolejo, J.A., Litvinchev, I., Aguilar, R.R.

“…In this study, four swarm intelligence based optimization techniques: particle swarm optimization (PSO), gravitational search algorithm (GSA), accelerated particle swarm optimization, and hybrid version of PSO and GSA (PSOGSA) have been applied for the state-of-charge optimization of PHEVs. …”
Get full text
Get full text

Multiple scenarios multi-objective salp swarm optimization for sizing of standalone photovoltaic system by Ridha, Hussein Mohammed, Gomes, Chandima, Hizam, Hashim, Mirjalili, Seyedali

“…The paper presents a new multiple scenario multi-objective salp swarm optimization (MS-MOSS) algorithm to optimally size a standalone PV system. …”
Get full text
Get full text
Get full text

The CG-BFGS method for unconstrained optimization problems by Ibrahim, Mohd Asrul Hery, Mamat, Mustafa, Leong, Wah June, Mohammad Sofi, Azfi Zaidi

Get full text
Get full text

Advances in metaheuristics: Applications in engineering systems by Ganesan, T., Vasant, P., Elamvazuthi, I.

“…It discusses topics such as algorithmic enhancements and performance measurement approaches, and provides insights into the implementation of metaheuristic strategies to multi-objective optimization problems. …”
Get full text
Get full text

Performance Comparison of FA, PSO and CS application in SINR Optimisation for LCMV Beamforming Technique by Doroody C., Kiong T.S.

A comparison on PSO variants in calculating HEPWM switching angles for a cascaded H-bridge multilevel inverter by Norkharziana, Mohd Nayan, Naziha, Ahmad Azli, Dr., Sharin, Md Ayob, Dr.

Get full text

Training size optimization with reduced complexity in cell-free massive MIMO system by Ullah, Sayeid M. Sahid, Mahyiddin, Wan Amirul Wan Mohd, Zakaria, Nur Azira, Latef, Tarik Abdul, Noordin, Kamarul Ariffin, Dimyati, Kaharudin

“…In this paper, we proposed to use training size optimization in cell-free massive MIMO system. In addition, we proposed and compared the performance of different training size optimization algorithms, namely exhaustive search optimization, bisection optimization and min–max optimization, with each method has different level of calculation complexities. …”
Get full text
Get full text

A swarm-based artificial immune system for solving multimodal functions by Yap D.F.W., Koh S.P., Tiong S.K., Prajindra S.K.

“…Nevertheless, the rate of convergence for AIS is relatively slow compared to other metaheuristic algorithms. On the other hand, genetic algorithms (GAs) and particle swarm optimization (PSO) have been used successfully in solving optimization problems, although they tend to converge prematurely. …”

Development of a hydrate formation prediction model for sub-sea pipeline by Abbasi, A., Hashim, F.M.

“…Results showed that the improved optimization algorithms are in admirable compliance with the real-time data. …”
Get full text
Get full text

Modelling of Assembly Sequence Planning Problem using Base Part Concept by Muhamad Arif, Abdullah, M. F. F., Ab. Rashid, Z., Ghazalli, N. M. Z., Nik Mohamed, A. N., Mohd Rose

Get full text
Get full text
Get full text
Get full text

Improved whale optimization algorithm for feature selection in Arabic sentiment analysis by Tubishat, Mohammad, Abushariah, Mohammad A.M., Idris, Norisma, Aljarah, Ibrahim

“…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
Get full text
Get full text

Determining optimum carob powder adsorbtion for cleaning wastewater: intelligent optimization with electro-search algorithm by Gezer, B., Kose, U., Zubov, D., Deperlioglu, O., Vasant, P.

“…Additionally, some alternative intelligent optimization algorithms were also used for determining optimum values. …”
Get full text
Get full text

A Novel HGBBDSA-CTI Approach for Subcarrier Allocation in Heterogeneous Network by Hasan M.K., Ismail A.F., Islam S., Hashim W., Ahmed M.M., Memon I.

A survey on improvement of Mahalanobis Taguchi system and its application by Tan L.M., Wan Muhamad W.Z.A., Yahya Z.R., Junoh A.K., Azziz N.H.A., Ramlie F., Harudin N., Abu M.Y., Tan X.J.

Efficient Time-Varying q-Parameter Design for q-Incremental Least Mean Square Algorithm with Noisy Links by Arif, M., Khan, S.S., Qadri, S.S.U., Naseem, I., Moinuddin, M.

“…Finally, extensive simulations have been done to evaluate the performance of the proposed algorithm for various choices of optimal q-values. …”
Get full text
Get full text

Voltage Regulation Planning Based on Optimal Grid-Connected Renewable Energy Allocation Using Nature-Inspired Algorithms to Reduce Switching Cycles of On-Load Tap Changing Transfor... by Hamid, K. Ali, Ahmed, M. A. Haidar, Norhuzaimin, Julai, Andreas, Helwig

Get full text
Get full text
Get full text

Intelligent optimization for charging scheduling of electric vehicle using exponential Harris Hawks technique by Devendiran R., Kasinathan P., Ramachandaramurthy V.K., Subramaniam U., Govindarajan U., Fernando X.

A genetic algorithm for solving supply chain network design model by Firoozi, Zahra, Ismail, Napsiah, Ariafar, Shahram, Tang, Sai Hong, Mohd Ariffin, Mohd Khairol Anuar

Get full text
Get full text