Optimization of Reservoir Operation using a Bioinspired Metaheuristic Based on the COVID-19 Propagation Model

Donyaii, Alireza; Sarraf, Amirpouya

doi:10.52547/nmce.5.1.15

Cited by 8 publications

(4 citation statements)

References 40 publications

(42 reference statements)

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“…The HHO algorithm is based on the hunting process of Harris' hawks, in which they cooperate to capture their prey [48]. HHO is a population-based optimization algorithm that works without using gradients.…”

Section: Harris Hawks Optimization (Hho)mentioning

confidence: 99%

Efficiency Enhancement of a Hybrid Sustainable Energy Harvesting System Using HHHOPSO-MPPT for IoT Devices

et al. 2023

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The Internet of Things (IoT) is a network of interconnected physical devices, vehicles, and buildings that are embedded with sensors, software, and network connectivity, enabling them to collect and exchange data. This exchange of data between the physical and digital worlds allows for a wide range of applications, from smart homes and cities to industrial automation and healthcare. However, a key challenge faced by IoT nodes is the limited availability of energy to support their operations. Typically, these nodes can only function for a few days based on their duty cycle. This paper introduces a solution that aims to ensure the sustainability of IoT applications by addressing this energy challenge. Thus, we develop a design of a hybrid sustainable energy system designed specifically for IoT nodes, using solar photovoltaic (PV) and wind turbines (WT) chosen for their multiple benefits and complementarity. The system uses the single-ended primary-inductance converter (SEPIC) and is controlled using a hybrid approach, combining Harris Hawks Optimization and Particle Swarm Optimization (HHHOPSO). Each SEPIC converter boost the electrical energy generated to attain the required voltage level when charging the battery. The proposed methodology is implemented in MATLAB/Simulink and its performance is measured using appropriate metrics. In terms of efficiency and average power, the results show that the suggested method outperforms previous strategies. Our system powers also many sensor nodes, leading to a high level of sustainability and lowering the carbon footprint associated with traditional energy sources.

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Section: Harris Hawks Optimization (Hho)mentioning

confidence: 99%

Efficiency Enhancement of a Hybrid Sustainable Energy Harvesting System Using HHHOPSO-MPPT for IoT Devices

et al. 2023

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“…Harris Hawks Optimizer (HHO) is one of the most recent meta-heuristic algorithms developed by Heidari et al . in 2019 (Donyaii & Sarraf, 2020 ). The HHO algorithm is inspired by the Harris hawk hunting pattern, known as the surprise pounce.…”

Section: Harris Hawks Optimizer (Hho)mentioning

confidence: 99%

“…Shabani et al, ( 2019 ) employed a search and rescue optimization algorithm to design truss structures with discrete decision variables. Donyaii and Sarraf, ( 2020 ) utilized a coronavirus optimization algorithm to optimize reservoir operation.…”

Section: Introductionmentioning

confidence: 99%

A new hybrid Harris hawks optimization (HHO) and particle swarm optimization (PSO) algorithm for the design of castellated beams

Mashayekhi

Mosayyebi

2023

Asian J Civ Eng

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In this paper, a hybrid meta-heuristic algorithm based on Harris Hawk Optimization (HHO) and Particle Swarm Optimization (PSO) is developed and used to design castellated beams. The total cost, including material and construction costs, is taken as the objective function, and the code requirements and geometry limitations have been considered in constraint functions. The proposed method is used to obtain the optimal solution of three examples. The solution is then compared with the results of five known methods. It is observed that the proposed algorithm achieves better results with a higher convergence speed as compared to the considered methods.

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“…Shabani et al employed a search and rescue optimization algorithm to design truss structures with discrete decision variables [16]. Donyaii and Sarraf utilized a coronavirus optimization algorithm to optimize reservoir operation [17].…”

Section: Introductionmentioning

confidence: 99%

A New Hybrid Harris Hawks Optimization (HHO) and Particle Swarm Optimization (PSO) Algorithm for the Design of Castellated Beams

Mashayekhi

Mosayebi

2023

Preprint

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In this paper, a hybrid meta-heuristic algorithm based on Harris Hawk Optimization (HHO) and Particle Swarm Optimization (PSO) is developed and used for the design of castellated beams. The total cost, including material and construction costs, is taken as the objective function, and the code requirements and geometry limitations have been considered in constraint functions. The proposed method is used to obtain the optimal solution of three examples. The solution is then compared with the results of five known methods. It is observed that the proposed algorithm achieves better results with a higher convergence speed as compared to the considered methods.

show abstract

Optimization of Reservoir Operation using a Bioinspired Metaheuristic Based on the COVID-19 Propagation Model

Cited by 8 publications

References 40 publications

Efficiency Enhancement of a Hybrid Sustainable Energy Harvesting System Using HHHOPSO-MPPT for IoT Devices

Efficiency Enhancement of a Hybrid Sustainable Energy Harvesting System Using HHHOPSO-MPPT for IoT Devices

A new hybrid Harris hawks optimization (HHO) and particle swarm optimization (PSO) algorithm for the design of castellated beams

A New Hybrid Harris Hawks Optimization (HHO) and Particle Swarm Optimization (PSO) Algorithm for the Design of Castellated Beams

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