Operation management of daily economic dispatch using novel hybrid particle swarm optimization and gravitational search algorithm with hybrid mutation strategy

Wang, Yan; Huang, Song; Ji, Zhicheng

doi:10.1142/s0217984917400991

Cited by 9 publications

(2 citation statements)

References 8 publications

(7 reference statements)

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“…When the force is applied to an object, the resulting acceleration depends on both force and the inertial mass of the object. For the motivation of GSA, gravity and mass concepts are to be used [41,42].…”

Section: Gravitational Search Algorithmmentioning

confidence: 99%

Optimal Crop Selection Using Gravitational Search Algorithm

Cheema

Singh

Gritli

2021

Mathematical Problems in Engineering

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For the economic growth of the crop, the optimal utilization of soil is found to be an open area of research. An efficient utilization includes various advantages such as watershed insurance, expanded biodiversity, and reduction of provincial destitution. Generally, soils present synthetic confinements for crop improvement. Therefore, in this paper, a novel diversified crop model is proposed to predict the suitable soil for good production of the crop. The proposed model utilizes a quantum value-based gravitational search algorithm (GSA) to optimize the best solution. Various features of soil are required to be investigated before crop selection. These features are refined further by applying quantum optimization. The crop selection based upon the soil requirement does not require any additional fertilizers which will reduce the production cost. Thus, the proposed model can select the optimal crop according to the soil components using the gravitational search algorithm. Therefore, the gravitational search algorithm is applied to the quantum values obtained from the crop and soil dataset. Extensive experiments show that the proposed model achieves an optimal selection of crops.

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Section: Gravitational Search Algorithmmentioning

confidence: 99%

Optimal Crop Selection Using Gravitational Search Algorithm

Cheema

Singh

Gritli

2021

Mathematical Problems in Engineering

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“…Among them, the f(R) theory and the Brans-Dicke (BD) theory are highly noteworthy [7][8][9]. In 1961, Brans and Dicke proposed a remarkably interesting theory of gravitation, based on Mach's principle [10,11]. Its theoretical framework was so constructed that the gravitational constant ( ) could be obtained from the structure and dynamics of the universe.…”

Section: Introductionmentioning

confidence: 99%

Determination of time evolution of the gravitational constant in the framework of Brans-Dicke Theory: An easy wa

Roy¹

2021

World J. Adv. Res. Rev.

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The present article demonstrates a very simple mathematical way to determine the time-dependence of the dynamical gravitational constant () in the framework of the Brans-Dicke theory of gravity. Brans-Dicke field equations, for a matter-dominated, pressure-less and spatially flat universe with homogeneous and isotropic space-time, have been used for this formulation. The gravitational constant () is the reciprocal of the Brans-Dicke scalar field (). Using a simple ansatz, which represents the Brans-Dicke scalar field () as a function of time, the possible values of a constant parameter (constituting the ansatz) have been calculated with the help of the field equations, using the values of some cosmological parameters at the present time. The values of that parameter (belonging to the ansatz) lead to the conclusion that the scalar field () decreases and consequently the gravitational constant () increases with time. The value of the relative time-rate of change of the gravitational constant (i.e., ) has also been estimated and this quantity has been found to be independent of time. Time-dependence of and has been depicted graphically for all values of the parameter belonging to the ansatz. The novel features of this study are that the gravitational field equations did not have to be solved, unlike other studies, to arrive at the results and the mathematical scheme for calculations is extremely easy in comparison to other recent studies in this regard.

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A novel deep neural networks based path prediction

Joshi

Kumar

2020

Cluster Comput

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Operation management of daily economic dispatch using novel hybrid particle swarm optimization and gravitational search algorithm with hybrid mutation strategy

Cited by 9 publications

References 8 publications

Optimal Crop Selection Using Gravitational Search Algorithm

Optimal Crop Selection Using Gravitational Search Algorithm

Determination of time evolution of the gravitational constant in the framework of Brans-Dicke Theory: An easy wa

A novel deep neural networks based path prediction

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