Search Results - (( developing function based algorithm ) OR ( driving simulation optimization algorithm ))

A Quantum Lightning Search Algorithm-Based Fuzzy Speed Controller for Induction Motor Drive by Hannan M.A., Ali J.A., Hussain A., Hasim F.H., Amirulddin U.A.U., Uddin M.N., Blaabjerg F.

Quantum-Behaved Lightning Search Algorithm to Improve Indirect Field-Oriented Fuzzy-PI Control for im Drive by Hannan M.A., Ali J.A., Mohamed A., Amirulddin U.A.U., Tan N.M.L., Uddin M.N.

Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column by Maan, Normah

“…A series of algorithms in solving the inverse problem were then developed corresponding to the forward models. …”
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OPTIMIZING HYBRID ELECTRIC VEHICLE ENERGY UTILIZATION BASED ON PARTICLE SWARM OPTIMIZATION ALGORITHM by Abang Ahmad Latif, Abang Sarbini

“…To evaluate the effectiveness of the proposed EMS, extensive simulations are performed using different drive cycles, considering various input parameters. …”
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Artificial neural controller synthesis for TORCS by Shi, Jun Long

“…In this research, a free open source 3D-based simulator named The Open Racing Car Simulator (TORCS) is chosen as the research platform. …”
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Optimization of multi-agent traffic network system with Q-Learning-Tune fitness function by Tan, Min Keng

“…However, the evaluation function used in the AI is developed based on historical traffic data. …”
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Cauchy density-based algorithm for VANETs clustering in 3D road environments by Jubair, Mohammed Ahmed, Ahmad, Mohd Riduan, Abdul Aziz, Izzatdin, Al-Obaidi, Ahmed Salih, Al-Tickriti, Abdullah Talaat, Hassan, Mustafa Hamid, Mostafa, Salama A., Mahdin, Hairulnizam

“…This paper attempts to solve the problem of VANETs in 3D road environments using a centralized clustering technique to develop a Cauchy density model. The model has been simulated by considering several simulation parameters including traffic, mobility, driving behavior, and road curvature. …”
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Long-term optimal planning for renewable based distributed generators and plug-in electric vehicles parking lots toward higher penetration of green energy technology by ALAhmad A.K., Verayiah R., Shareef H., Ramasamy A.

“…A hybrid optimization algorithm addresses the proposed objectives, combining the non-dominated sorting genetic algorithm (NSGA-II) and multi-objective particle swarm optimization (MOPSO) to minimize the three distinct objective functions concurrently. …”

Optimization of hydropower reservoir system using genetic algorithm for various climatic scenarios by Tayebiyan, Aida

“…In order to increase the system efficiency and maximize the power generation, constructed operation models were optimized. To determine the optimum solution in each policy, real coded genetic algorithm is used as an optimization technique. …”
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Reliable Path Selection Packet Forwarding Routing Protocol for Vehicular Adhoc Networks by Irshad Ahmed, Abbasi

“…The objective of this research is to develop an optimal and reliable multi-hop routing approach for accomplishing effective vehicular communication in VANETs. …”
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Optimized speed controller for induction motor drive using quantum lightning search algorithm by Ali J.A., Hannan M.A., Mohamed A.

Multi-objective optimization of all-wheel drive electric formula vehicle for performance and energy efficiency using evolutionary algorithms by Tey, Jing Yuen, Ramli, Rahizar

“…A new method based on constraint multi-objective optimization using evolutionary algorithms is proposed to optimize the powertrain design of a battery electric formula vehicle with an all-wheel independent motor drive. …”
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Deep Reinforcement Learning For Control by Bakar, Nurul Asyikin Abu

“…The improved algorithm will help encourage the real-world implementation of DRL in many autonomous driving applications.…”
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Natural gas liquid (NGL) distillation process using driving force and thermal pinch analysis methods: Energy and economic assessment / Munawar Zaman Shahruddin ... [et al.] by Shahruddin, Munawar Zaman, Asri, Mohamad Hamidi, Mohd Zin, Rohani, Rahimi, Ahmad Nafais, Zubir, Muhammad Afiq, Zahran, Muhammad Fakhrul Islam, Ibrahim, Norazana, Abd Hamid, Mohd Kamaruddin

“…Then, the extracted data from the simulation will be used for thermal pinch analysis via problem table algorithm (PTA). …”
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Efficiency optimization of variable speed induction motor drive using online backpropagation by Mohamad Yatim, Abdul Halim, Utomo, W. M.

“…In this paper the designs of a back propagation based efficiency optimization control (BPEOC) for variable speed compressor induction motor drive is described. …”
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Online DE optimization for Fuzzy-PID controller of semi-active suspension system featuring MR damper by Ahmed, Hesham, As’arry, Azizan, Hairuddin, Abdul Aziz, Hassan, Mohd Khair, Liu, Yunyun, Onwudinjo, Erasmus Cufe Ujunwa

“…The offline design of the Fuzzy algorithm cannot cope with unexpected real-time vibrations occurred while driving a car in different road profiles. …”
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Implementation of DSP-based optimal fuzzy logic speed controller for IM drive using quantum lightning search algorithm by Abd. Ali J., Hannan M.A., Mohamed A., Pin Jern K., Abdolrasol M.G.

Development of optimal energy management topology for battery electric vehicle with load segmentation by Tengku Mohd, Tengku Azman

“…The incorporation of load segmentation into EMS topology has significantly improved the organization of energy flow management between supply and load. The simulation tests in New European urban and extra urban driving (NEDC) has successfully verified the optimal energy consumption with a saving of 18.6% in energy or an increase of 28.5% (17.22 km) in driving range cumulatively. …”
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Particle swarm optimization technique of current tracking controller for electric power-assisted steering system by Bahmanshiri, Adel Amiri

“…In this case, three test procedure are done to show the performance of current tracking controller in different situations, also the current tracking performance with Particle Swarm Optimization (PSO)-PID controller compared to previous research that used Ant Colony Optimization (ACO)-PID controller [1] to show the percentage of error between reference motor current and actual motor current of proposed PSO optimization algorithm with 0.023% is much less than previous worked (ACO optimization algorithm) with 4.76%.So the proposed control strategy can improve otor current tracking performance in electric powers assisted steering (EPAS) systems.…”
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PID-Ant Colony Optimization (ACO) control for electric power assist steering system for electric vehicle by Abu Hanifah, Rabiatuladawiyah, Toha, Siti Fauziah, Ahmad, Salmiah

“…Simulation results shows the performance and effectiveness of using ACO algorithm for PID tuning.…”
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