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- W4285137710 abstract "In this paper, the integration of a modified opposition-based learning (mOBL) mechanism into the arithmetic optimization algorithm (AOA) is presented. The proposed novel mOBL based AOA (mAOA) was demonstrated to have better capability for optimization problems by using four classical benchmark functions. For further evaluation, the proposed mAOA was also used to tune a proportional-integral-derivative controller (PID) adopted in a functional electrical stimulation (FES) system for the first time. The latter system is a challenging biomedical system that helps revealing the potential of the mAOA for real-world engineering optimization problems. The comparative transient response analysis was performed for PID controlled FES system using the original arithmetic optimization algorithm and Ziegler-Nichols based tuning schemes. The latter comparative analysis has shown better capability of the proposed mAOA algorithm for such a biomedical system." @default.
- W4285137710 created "2022-07-14" @default.
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- W4285137710 date "2022-01-01" @default.
- W4285137710 modified "2023-10-12" @default.
- W4285137710 title "Opposition-Based Arithmetic Optimization Algorithm with Varying Acceleration Coefficient for Function Optimization and Control of FES System" @default.
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- W4285137710 doi "https://doi.org/10.1007/978-981-19-0332-8_20" @default.
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