Multi objective taguchi–grey relational analysis and krill herd algorithm approaches to investigate the parametric optimization in abrasive water jet drilling of stainless steel

Balaji, K.; Kumar, M. Siva; Yuvaraj, N.

doi:10.1016/j.asoc.2020.107075

Cited by 34 publications

(9 citation statements)

References 35 publications

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“…Based on Entropy Weight Method e building of the influencing factor system and the identification of the relevant data of the influencing factors are the first steps in selecting the influencing factors of the relevant indicators of the financial auditing effect. e first assessment system of the evaluation index is the influencing factor system utilised in model preparation [21,22].…”

Section: Financial Audit Influence Index Systemmentioning

confidence: 99%

The Application of Grey Relational Analysis in the Evaluation of Financial Auditing Effect and Improvement

Wang

2022

Mobile Information Systems

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Financial institutions are confronting more complicated risks as a result of the current financial crisis. Financial auditing is an essential aspect of government auditing since it serves to protect the security and stability of the national financial system by evaluating financial systemic vulnerabilities. Therefore, this paper combines the grey relational analysis to carry out research work on the financial auditing effect and improvement evaluation. Firstly, we conducted a preliminary selection of relevant financial audit impact indicators and identified the design of the influencing factor system as well as appropriate data for the influencing factors, resulting in the first evaluation system of the evaluation indicators. Secondly, we created a factor set for evaluating the financial audit improvement effect. The completed task proportion component and the task completion quality factor are the two kinds of improvement impact evaluation factors. On this foundation, this research develops a grey correlation-based assessment model for audit effect enhancement. The residual graph fitting findings indicate that the scheme has a good implementation impact and may be utilised to assess the financial auditing improvement effect.

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Section: Financial Audit Influence Index Systemmentioning

confidence: 99%

The Application of Grey Relational Analysis in the Evaluation of Financial Auditing Effect and Improvement

Wang

2022

Mobile Information Systems

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“…The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a method used for converting multiple objectives into a single objective, which is consequently applied in optimization techniques for decision making [44,45]. TOPSIS is based on choosing the alternative with the shortest geometric distance from the positive ideal solution and the longest geometric distance from the negative ideal solution.…”

Section: Topsis Methods For Multi-objective Optimizationmentioning

confidence: 99%

Meta-Heuristic Technique-Based Parametric Optimization for Electrochemical Machining of Monel 400 Alloys to Investigate the Material Removal Rate and the Sludge

Nagarajan¹,

Ayyappan²,

Kumar

et al. 2022

Applied Sciences

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Electrochemical machining (ECM) is a preferred advanced machining process for machining Monel 400 alloys. During the machining, the toxic nickel hydroxides in the sludge are formed. Therefore, it becomes necessary to determine the optimum ECM process parameters that minimize the nickel presence (NP) emission in the sludge while maximizing the material removal rate (MRR). In this investigation, the predominant ECM process parameters, such as the applied voltage, flow rate, and electrolyte concentration, were controlled to study their effect on the performance measures (i.e., MRR and NP). A meta-heuristic algorithm, the grey wolf optimizer (GWO), was used for the multi-objective optimization of the process parameters for ECM, and its results were compared with the moth-flame optimization (MFO) and particle swarm optimization (PSO) algorithms. It was observed from the surface, main, and interaction plots of this experimentation that all the process variables influenced the objectives significantly. The TOPSIS algorithm was employed to convert multiple objectives into a single objective used in meta-heuristic algorithms. In the convergence plot for the MRR model, the PSO algorithm converged very quickly in 10 iterations, while GWO and MFO took 14 and 64 iterations, respectively. In the case of the NP model, the PSO tool took only 6 iterations to converge, whereas MFO and GWO took 48 and 88 iterations, respectively. However, both MFO and GWO obtained the same solutions of EC = 132.014 g/L, V = 2406 V, and FR = 2.8455 L/min with the best conflicting performances (i.e., MRR = 0.242 g/min and NP = 57.7202 PPM). Hence, it is confirmed that these metaheuristic algorithms of MFO and GWO are more suitable for finding the optimum process parameters for machining Monel 400 alloys with ECM. This work explores a greater scope for the ECM process with better machining performance.

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“…For the employment quality evaluation problem in this paper, it is to find the correlation between the evaluation index and the employment quality evaluation [15]. GRA algorithm is used to analyze the employment quality evaluation indicators, establish the corresponding statistical data of employment quality evaluation indicators, and convert them into geometric curves [16]. The closer the geometric curves are, the greater the correlation degree of employment quality evaluation indicators is [17].…”

Section: Gra Algorithm Determines the Weight Of Employment Quality Ev...mentioning

confidence: 99%

Employment Quality Evaluation Model Based on Hybrid Intelligent Algorithm

Gu¹,

Wang²,

Liang³

2023

Computers, Materials &Amp; Continua

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In order to solve the defect of large error in current employment quality evaluation, an employment quality evaluation model based on grey correlation degree method and fuzzy C-means (FCM) is proposed. Firstly, it analyzes the related research work of employment quality evaluation, establishes the employment quality evaluation index system, collects the index data, and normalizes the index data; Then, the weight value of employment quality evaluation index is determined by Grey relational analysis method, and some unimportant indexes are removed; Finally, the employment quality evaluation model is established by using fuzzy cluster analysis algorithm, and compared with other employment quality evaluation models. The test results show that the employment quality evaluation accuracy of the design model exceeds 93%, the employment quality evaluation error can meet the requirements of practical application, and the employment quality evaluation effect is much better than the comparison model. The comparison test verifies the superiority of the model.

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Multi objective taguchi–grey relational analysis and krill herd algorithm approaches to investigate the parametric optimization in abrasive water jet drilling of stainless steel

Cited by 34 publications

References 35 publications

The Application of Grey Relational Analysis in the Evaluation of Financial Auditing Effect and Improvement

The Application of Grey Relational Analysis in the Evaluation of Financial Auditing Effect and Improvement

Meta-Heuristic Technique-Based Parametric Optimization for Electrochemical Machining of Monel 400 Alloys to Investigate the Material Removal Rate and the Sludge

Employment Quality Evaluation Model Based on Hybrid Intelligent Algorithm

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