S
S. Hr. Aghay Kaboli
Researcher at University of Malaya
Publications - 14
Citations - 944
S. Hr. Aghay Kaboli is an academic researcher from University of Malaya. The author has contributed to research in topics: Optimization problem & Economic dispatch. The author has an hindex of 13, co-authored 14 publications receiving 787 citations. Previous affiliations of S. Hr. Aghay Kaboli include Kuwait University.
Papers
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Journal ArticleDOI
Backtracking search algorithm for solving economic dispatch problems with valve-point effects and multiple fuel options
Mostafa Modiri-Delshad,S. Hr. Aghay Kaboli,Ehsan Taslimi-Renani,Nasrudin Abd Rahim,Nasrudin Abd Rahim +4 more
TL;DR: Backtracking search algorithm (BSA) for solving economic dispatch (ED) problems with considering valve-point loading effects, prohibited operating zones, and multiple fuel options is presented.
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Long-term electrical energy consumption formulating and forecasting via optimized gene expression programming
S. Hr. Aghay Kaboli,Alireza Fallahpour,Jeyraj Selvaraj,Nasrudin Abd Rahim,Nasrudin Abd Rahim +4 more
TL;DR: In this paper, the effects of two different historical data types on electrical energy consumption of ASEAN-5 counties were analyzed using GEP (gene expression programming) to precisely formulate the relationships between historical data and electricity consumption.
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Long-term electric energy consumption forecasting via artificial cooperative search algorithm
TL;DR: This study mathematically formulates the effects of socio-economic indicators on Iran's electric energy consumption and assesses the applicability and accuracy of the proposed artificial cooperative search algorithm in electric power consumption forecasting as compared with other optimization methods.
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Rain-fall optimization algorithm: A population based algorithm for solving constrained optimization problems
TL;DR: RFO has been developed from a motivation to find a simpler and more effective search algorithm to optimize multi-dimensional numerical test functions and is effective in searching and finding an optimum solution from a large search domain within an acceptable CPU time.
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A PSO-DQ Current Control Scheme for Performance Enhancement of Z-Source Matrix Converter to Drive IM Fed by Abnormal Voltage
TL;DR: In this paper, a rotational d-q current control scheme with particle swarm optimization-PI controller is presented, which drives an induction motor through an ultra-sparse Z-source matrix converter.