Application of Spotted Hyena Optimizer in Cogeneration Power Plant on Single and Multiple-Objective

Sukpancharoen, Somboon

doi:10.1109/ccwc51732.2021.9376078

Cited by 7 publications

(4 citation statements)

References 23 publications

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“…A vast amount of literature on the heuristic algorithm has been published recently [16][17][18][19][20][21][22][23][24][25][26][27][28][29]. The first was published in 1975, when Holland proposed the concept and theoretical basis of genetic evolution based on Darwin's concept of "natural selection", using the genetic mechanism of "survival of the fittest" to simulate the biological evolutionary process of genetic selection and natural elimination to find the best solution by a random search [16].…”

Section: Introductionmentioning

confidence: 99%

“…This algorithm relies on the hyenas' trusted friendship network to identify the prey to be hunted and the authors showed that this hunting method could obtain a better solution more rapidly, outperforming other algorithms for constraint engineering problems in the real world [25,26]. Furthermore, Sukpancharoen proposed the application of the speckled hyena optimization algorithm to single-and multi-objective cogeneration plants [27]. In 2022, the spotted hyena optimizer was utilized to optimize the commutation strategy of the three-phase load unbalance [28].…”

Section: Introductionmentioning

confidence: 99%

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Microwave Imaging for Half-Space Conductors Using the Whale Optimization Algorithm and the Spotted Hyena Optimizer

et al. 2023

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This research implements the whale optimization algorithm (WOA) and spotted hyena optimizer (SHO) in inverse scattering to regenerate the conductor shape concealed in the half-space. TM waves are irradiated from the other half-space to a perfect conductor with an unknown shape buried in one half-space. The scattered field measured outside the conductor surface with the boundary condition is used to reconstruct the object using the WOA and SHO algorithms. Several scenarios of reconstruction accuracy were compared for the WOA and SHO. The numerical simulations prove that the WOA has a better reconstruction capability.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Microwave Imaging for Half-Space Conductors Using the Whale Optimization Algorithm and the Spotted Hyena Optimizer

et al. 2023

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“…[ 8 ] conducted this study by the CCD to obtain the optimal scenario for MOO by a Gray Wolf optimizer technique. Comparison was performed using a Spotted Hyena optimizer to solve the combined cycle power plants by using single-objective and MOO [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Multi-objective atom search optimization of biodiesel production from palm empty fruit bunch pyrolysis

Junsittiwate

Srinophakun

Sukpancharoen

2022

Heliyon

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“…SOO and MOO are compared using the Spotted Hyena Optimizer (SHO) algorithm on a cogeneration power plant. Based on the findings, the MOO employs a broader array of data to arrive at global solutions (Sukpancharoen, 2021) It can broadly be stated that among the various metaheuristic optimization algorithms, particularly those based on populations, the search functions have a shared tendency to rely upon the phases of exploration and exploitation. The objective of metaheuristic algorithms is to make the search process more efficient by optimizing the balance of the activity in those two phases.…”

Section: Introductionmentioning

confidence: 99%

Combined heat and power plant using a multi-objective Henry gas solubility optimization algorithm: A thermodynamic investigation of energy, exergy, and economic (3E) analysis

Sukpancharoen

Prasartkaew

2021

Heliyon

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The principal context of this study was a combined heat and power plant (CHPP) system, with the aim of conducting the multi-objective optimization (MOO) of an energy, exergy, and economic (3E) analysis. To meet rising energy demands, optimal operational conditions for CHPPs are required. Enhancements to plant equipment and improvements in plant design are critical. CHPP design has its basis in the first law of thermodynamics; the losses from such systems are therefore most accurately determined via exergy analysis. Energy quality can also be assessed using exergy analysis. Consequently, it is possible for the designers of thermodynamic systems to apply the findings to achieve improved efficiencies. The economic aspect of CHPP optimization is also critical because the structure is highly complex. This study therefore makes use of a Henry gas solubility optimization (HGSO) algorithm in a CHPP base case situation to achieve MOO. In this particular CHPP system, the respective enthalpy and exergy efficiencies were increased in the case of the boiler (7.22% and 7.21%), the turbogenerator (4.52% and 6.84%), and the condenser (3.06% and 31.37%). In this study, four scenarios are proposed, whereby the design of a heat exchanger network (HEN) aims to optimize energy savings and economic performance through analysis of the profits generated through electricity and steam production. A payback period of around two to three years was reported, where the cost increase under optimal conditions was found to be 0.3824%. The results demonstrate clearly that the tested techniques may be appropriate in practical scenarios when enhancing CHPP performance in the context of the base case.

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Application of Spotted Hyena Optimizer in Cogeneration Power Plant on Single and Multiple-Objective

Cited by 7 publications

References 23 publications

Microwave Imaging for Half-Space Conductors Using the Whale Optimization Algorithm and the Spotted Hyena Optimizer

Microwave Imaging for Half-Space Conductors Using the Whale Optimization Algorithm and the Spotted Hyena Optimizer

Multi-objective atom search optimization of biodiesel production from palm empty fruit bunch pyrolysis

Combined heat and power plant using a multi-objective Henry gas solubility optimization algorithm: A thermodynamic investigation of energy, exergy, and economic (3E) analysis

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