Optimization of subcooled flow boiling in a vertical pipe by using artificial neural network and multi objective genetic algorithm

Alimoradi, Hasan; Shams, Mehrzad

doi:10.1016/j.applthermaleng.2016.09.114

Cited by 51 publications

(18 citation statements)

References 25 publications

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“…СПИСОК ВИКОРИСТАНИХ ДЖЕРЕЛ Alimoradi, H., & Shams, M. (2017). Optimization of subcooled flow boiling in a vertical pipe by using artificial neural network and multi objective genetic algorithm.…”

Section: висновкиmentioning

confidence: 99%

Prospective Trends of Harmonious Possibilities in Optimization of Production Systems of Construction

Poltavets¹,

Arutiunian²,

АZHAZHA³

2021

bttrp

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Purpose. Scientific formation of algorithmic support of construction organization and management processes with the use of metaheuristic methods in solving practical problems of optimal control of nonlinear dynamic production systems. Methodology. Use of metaheuristic methods of optimization, system analysis and system substantiation, use of methods of systems theory, use of methods of modeling theory for the purpose of perspective management of production systems of building branch on the basis of the general laws and principles of harmony. Results. The scientific formation of the concept of harmonious optimization of production systems of construction by the metaheuristic method of the golden section is performed. The scheme of work of the method of golden section in optimization problems of construction production is developed and the detailed visualization of this method on levels of symmetry is executed. The ways of application of the principles of harmonious management in the optimization of construction production systems in the direction of sustainable and logical development are substantiated. The components of harmonious production in improving the interaction of different departments and accelerating the response to rapid change, which will accelerate the level of success of any organization. Originality. The concept of harmonious optimization of production systems of construction by metaheuristic method of golden section is offered. The scheme of work of the method of golden ratio in optimization problems of construction production is developed and the detailed visualization of this method on levels of symmetry is executed. Practical value. The use of optimization measures to increase the efficiency of construction production is proposed to be implemented according to the developed basic algorithm for optimizing the functioning of the construction production system according to the concept of the golden ratio method. Conclusions. The substantiation of ways of application of principles of harmonious management in optimization of building production systems in the direction of steady and logical development is executed. The components of harmonious production in improving the interaction of different departments and accelerating the response to rapid change, which will accelerate the level of success of any organization. The result is the creation of all conditions for the harmonious interaction of performers and equipment at all levels of construction management, which confirms the need to develop modern approaches to production on the principles of harmony.

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Section: висновкиmentioning

confidence: 99%

Prospective Trends of Harmonious Possibilities in Optimization of Production Systems of Construction

Poltavets¹,

Arutiunian²,

АZHAZHA³

2021

bttrp

View full text Add to dashboard Cite

show abstract

“…Background and related work In [41], artificial neural network technique is utilized for modeling the void fraction in two-phase flow inside helical vertical coils with water as work fluid. In [42] artificial neural network and multi-objective genetic algorithm are applied for optimizing the subcooled flow boiling in a vertical pipe. Pressure, the mass flux of the water, inlet subcooled temperature, as well as heat flux are considered as inlet parameters.…”

Section: Neural Networkmentioning

confidence: 99%

Applications of Z-Numbers and Neural Networks in Engineering

Jafari

Razvarz

Gegov

2020

Advances in Intelligent Systems and Computing

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In the real world, much of the information on which decisions are based is vague, imprecise and incomplete. Artificial intelligence techniques can deal with extensive uncertainties. Currently, various types of artificial intelligence technologies, like fuzzy logic and artificial neural network are broadly utilized in the engineering field. In this paper, the combined Z-number and neural network techniques are studied. Furthermore, the applications of Z-numbers and neural networks in engineering are introduced.

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“…To ensure convergence, expression (11) is converted into expression (12). is calculated from expression (12). k TVk TV is calculated by onedimensional search.…”

Section: Determination Of Topkis-veinott Feasible Descent Directionmentioning

confidence: 99%

“…Because the bending direction of adjusting efficiency curve in work roll bending is the same as the bending direction of adjusting efficiency curve in intermediate roll bending, this combination of regulation will cancel each other out. For example, the flatness can keep good when the work roll bending is adjusted by three units in the direction of increasing bending force [8][9][10][11][12][13][14][15]. Since the intermediate roll bending is adjusted by five units in the direction of decreasing bending force, the work roll bending have to be adjusted by more units for offsetting the effect of the intermediate roll bending.…”

Section: Introductionmentioning

confidence: 99%

Intelligent assignation strategy of collaborative optimization for flatness control

Yan

Wang

et al. 2018

J Braz. Soc. Mech. Sci. Eng.

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Under the background of industry 4.0, advanced strip control process is a central part of rolling intelligent manufacturing. In the mainstream rolling control process, the work roll bending and the intermediate roll bending are turned on at the same time. Both stepwise methods and alternative methods are conducted by sacrificing adjustment ability. In this paper, the dimension of influencing factors is increased by considering adjustment direction as constraint operator. In the rolling control process, a new intelligent assignation strategy of collaborative optimization based on artificial neural networks and Topkis-Veinott has been proposed. In AINTV collaborative optimization, the thought patterns of searching and the thought patterns of learning are combined. Five field test experiments are conducted and the flatness in different rolling stages and in different strip area is analyzed. Keywords Rolling control process Á Artificial neural networks Á Intelligent manufacturing Á Collaborative optimization Á Calculation of bending force

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Optimization of subcooled flow boiling in a vertical pipe by using artificial neural network and multi objective genetic algorithm

Cited by 51 publications

References 25 publications

Prospective Trends of Harmonious Possibilities in Optimization of Production Systems of Construction

Prospective Trends of Harmonious Possibilities in Optimization of Production Systems of Construction

Applications of Z-Numbers and Neural Networks in Engineering

Intelligent assignation strategy of collaborative optimization for flatness control

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