BCOVIDOA: A Novel Binary Coronavirus Disease Optimization Algorithm for Feature Selection

Khalid, Asmaa M.; Hamza, Hanaa M.; Mirjalili, Seyedali; Hosny, Khalid M.

doi:10.1016/j.knosys.2022.108789

Cited by 29 publications

(15 citation statements)

References 42 publications

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“…Before the following iteration begins, it is recommended that such repeat individuals be removed from the population. The vaccines take into account the goal function that is employed to treat the sick population [58]- [60].…”

Section: Covid-19 Optimizationmentioning

confidence: 99%

Adaptive Controller with PID, FOPID, and NPID Compensators for Tracking Control of Electric – Wind Vehicle

Shamseldin

2022

Journal of Robotics and Control

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This paper presents a new combination between the Model Reference Adaptive Control (MRAC) with several types of PID’s controllers (PID, Fractional order PID (FOPID), and Nonlinear PID (NPID)) optimized using a new Covid-19 algorithm. The proposed control techniques had been applied on a new model for an electric-wind vehicle, which can catch the wind that blows in the opposite direction of a moving vehicle to receive wind; a wind turbine is installed on the vehicle’s front. The generator converts wind energy into electricity and stores it into a backup battery to switch it when the primary battery is empty. The simulation results prove that the new model of electric–wind vehicles will save power and allow the vehicle to continue moving while the other battery charges. In addition, a comparative study between different types of control algorithms had been developed and investigated to improve the vehicle dynamic response. The comparison shows that the MRAC with the NPID compensator can absorb the nonlinearity (air resistance and wheel friction) where it has a minimum overshoot, rise time, and settling time (35 seconds) among other control techniques compensators (PID and FOPID).

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Section: Covid-19 Optimizationmentioning

confidence: 99%

Adaptive Controller with PID, FOPID, and NPID Compensators for Tracking Control of Electric – Wind Vehicle

Shamseldin

2022

Journal of Robotics and Control

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“…COVIDOA is one of the most recently proposed swarm intelligence metaheuristics [ 25 , 26 ]. It is inspired by Coronavirus particles' behavior inside the human body.…”

Section: Introductionmentioning

confidence: 99%

MOCOVIDOA: a novel multi-objective coronavirus disease optimization algorithm for solving multi-objective optimization problems

Khalid

Hamza

Mirjalili

et al. 2023

Neural Comput & Applic

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A novel multi-objective Coronavirus disease optimization algorithm (MOCOVIDOA) is presented to solve global optimization problems with up to three objective functions. This algorithm used an archive to store non-dominated POSs during the optimization process. Then, a roulette wheel selection mechanism selects the effective archived solutions by simulating the frameshifting technique Coronavirus particles use for replication. We evaluated the efficiency by solving twenty-seven multi-objective (21 benchmarks & 6 real-world engineering design) problems, where the results are compared against five common multi-objective metaheuristics. The comparison uses six evaluation metrics, including IGD, GD, MS, SP, HV, and delta p ($$\Delta \mathrm{P}$$ Δ P ). The obtained results and the Wilcoxon rank-sum test show the superiority of this novel algorithm over the existing algorithms and reveal its applicability in solving multi-objective problems.

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“…This theorem encouraged the authors to use a hybrid version of the recent COVIDOA to solve the image segmentation problem. The COVIDOA [ 40 ] and its binary version, BCOVIDOA [ 43 ], outperformed most existing optimization algorithms in solving benchmark and real-world optimization problems. The idea of the proposed algorithm is to divide the initial population into two half and assign each half to one of the two powerful metaheuristics (COVIDOA and HHOA).…”

Section: Introductionmentioning

confidence: 99%

“…The COVIDOA [ 40 ] and its binary version, BCOVIDOA [ 43 ], outperformed most existing optimization algorithms in solving benchmark and real-world optimization problems.…”

Section: Introductionmentioning

confidence: 99%

Multilevel segmentation of 2D and volumetric medical images using hybrid Coronavirus Optimization Algorithm

Hosny

Khalid²,

Hamza³

et al. 2022

Computers in Biology and Medicine

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BCOVIDOA: A Novel Binary Coronavirus Disease Optimization Algorithm for Feature Selection

Cited by 29 publications

References 42 publications

Adaptive Controller with PID, FOPID, and NPID Compensators for Tracking Control of Electric – Wind Vehicle

Adaptive Controller with PID, FOPID, and NPID Compensators for Tracking Control of Electric – Wind Vehicle

MOCOVIDOA: a novel multi-objective coronavirus disease optimization algorithm for solving multi-objective optimization problems

Multilevel segmentation of 2D and volumetric medical images using hybrid Coronavirus Optimization Algorithm

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