Comparative analysis of water network minimization in industrial processes: Regeneration vs. non-regeneration methods by Khalifa Azza Mohamed, Elsayed Nadia Ali, Awad Mostafa

“…The utilization of a regeneration method in water networks provides a distinct benefit by effectively decreasing the usage of freshwater and the release of wastewater; while also preventing the accumulation of contaminants; it is crucial to employ appropriate process decomposition strategies. …”
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A THREE-TERM CONJUGATE GRADIENT METHOD FOR LARGE-SCALE MINIMIZATION IN ARTIFICIAL NEURAL NETWORKS by Umar A Omesa, Muhammad Y. Waziri, Issam A. R. Moghrabi, Sulaiman M. Ibrahim, Gudu E B, Fakai S L, Rabiu Bashir Yunus, Elissa Nadia Madi

“…To evaluate the performance of the new method we considered some standard test problems for unconstrained optimization and applied the proposed method to train different ANNs on some benchmark data sets contained in the NN toolbox. …”
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Temperature Distribution in Core and Winding of a Transformer and Its Effect on Performance by Mahmmod Aziz Muhammed, Abdul Ridha Ghedayer

“…The numerical scheme applied which is based on finite difference method has shown to be in good agreement with the empirical data measured on the external finned body of transformer. …”
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Estimation of extreme temperatures in direct solar methane pyrolysis within a porous medium by Hengrui Xu, Mostafa Abuseada, Y. Sungtaek Ju, R. Mitchell Spearrin, Timothy S. Fisher

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Sidelobe Level Suppression in Linear and Planar Phased Arrays Using Grey Wolf Optimization With Local Search Refinements by Muhammad Athallah Adriansyah, Aditya Inzani Wahdiyat, Ismi Rosyiana Fitri, Noor Asniza Murad, Catur Apriono

“…The proposed method combines the global search capability of grey wolf optimizer (GWO) with the Nelder-Mead local refinement to address the PSLL suppression challenge. …”
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Optimization of Bioactive Compound Extraction from Iranian Brown Macroalgae <i>Nizimuddinia zanardini</i> with Ultrasound and Microwave Methods Using Fuzzy Logic by Atefe Taherkhani, Akram Sharifi, Mohamed Koubaa

“…In this study, three extraction methods of bioactive compounds from the brown algae <i>Nizimuddinia zanardini</i> were ranked using the fuzzy weighting system in two stages, ranking between different conditions and choosing the optimal conditions for each extraction method separately. …”
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Research on Structural Optimization and Excitation Control Method Using a Two-Dimensional OWPT System for Capsule Robots Based on Non-Equivalent Coils by Wenwei Li, Pingping Jiang, Zhiwu Wang, Guozheng Yan

“…Based on the magnetic field calculation and finite element analysis, the saddle coil structure is optimized to enhance magnetic field uniformity; to achieve a two-dimensional rotating magnetic field, a phase difference control method for the excitation signal is developed through the analysis of circuit topology and quantitative synthesis of non-equivalent magnetic field vectors. …”
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Analysis of variance and grey relational analysis application methods for the selection and optimization problem in 6061-T6 flange friction stir welding process parameters by Ibrahim Sabry, A.M. Hewidy, Mohammad Alkhedher, Abdel-Hamid Ismail Mourad

“…The validation results obtained indicate that the optimization method is a dependable tool for enhancing the quality responses of friction stir welding.…”
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A Dynamic Scheduling Method Combining Iterative Optimization and Deep Reinforcement Learning to Solve Sudden Disturbance Events in a Flexible Manufacturing Process by Jun Yan, Tianzuo Zhao, Tao Zhang, Hongyan Chu, Congbin Yang, Yueze Zhang

“…In this paper, a dynamic scheduling method combining iterative optimization and deep reinforcement learning (DRL) is proposed to address the impact of uncertain disturbances. …”
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An Adaptive Particle Swarm Optimization Algorithm for Unconstrained Optimization by Feng Qian, Mohammad Reza Mahmoudi, Hamïd Parvïn, Kim-Hung Pho, Bui Anh Tuan

“…Conventional optimization methods are not efficient enough to solve many of the naturally complicated optimization problems. …”
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Assessment of Agro-Morphological and Yield-Related Traits of Vijay Wheat (Triticum aestivum L.) Variety Under Different Ploughing and Non-Ploughing Techniques by Md. Shamshad Ansari, Manoj Joshi, Binod Yadav, Bishnu Yadav

“…This study examines the effects of different tillage methods on the agro-morphological and yield-related traits of the Vijay wheat variety under varying ploughing and non-ploughing techniques. …”
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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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Optimization of Remote Backup Protection Coordination Logic Based on Dynamic Identification of Faulty Components in Transmission Grids by LIN Xiangning, JI Jihao, DING Yifan, LI Zhengtian, WENG Hanli

“…[Conclusions] The proposed method achieved rapid and dynamic identification of multiple types of fault components in renewable energy grids through the complementary use of negative sequence ranking and traveling wave time-difference criteria， overcoming the limitations of looped network deadlocks. …”
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Mechanism of hydraulic fracture propagation and fracturing process optimization in thin-interbedded sandstone-shale reservoirs based on 3D discrete lattice method by Dongzheng Sun, Fabin Xu, Lei Ma, Long Li, Cheng Han

“…Therefore, the process optimization scheme is proposed: 60 mPa·s high viscous surface is used when the barrier modulus is &lt;6,000 MPa, 10 mPa·s low viscous activated weak surface is selected when the reservoir-interlayer stress difference is &lt;5 MPa, multi-stage proppant combination and 8–10 m3/min injection displacement control are used to achieve the optimal configuration of technical and economic parameters. …”
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A Capacity Optimization Configuration Method for Photovoltaic and Energy Storage System of 5 G Base Station Considering Time-of-Use Electricity Price by Ziyan HAN, Shouxiang WANG, Qianyu ZHAO, Zhijie ZHENG

“…With the rapid development of the 5th generation mobile communication technology (5G communication), the number of 5G base stations is increasing, and the problem of large power consumption and high electricity cost of 5G communication is becoming more and more prominent. Therefore, an optimal configuration method is proposed for the photovoltaic and energy storage system of 5G base station with consideration of the integration of photovoltaic power generation and energy storage to improve the economics of 5G base station operation. …”
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Application of the Analytic Hierarchy Process Method to Select the Final Solution for Multi-Criteria Optimization of the Structure of a Hybrid Generation System with Energy Storage by Andrzej Tomczewski, Stanisław Mikulski, Jan Szymenderski

“…This paper concerns the application of the AHP (analytic hierarchy process) multi-criteria decision support method for the final selection of the structure of a hybrid power system with RESs (renewable energy sources) and EES (electrical energy storage) from a set of solutions obtained through multi-criteria optimization. …”
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Optimizing Bioceramic Composites for Hip Joint Replacements using SPS Method: Investigating the Effects of Titanium Diboride (TiB2) on Tribological Properties by Pavankumar Ravikumar, Goud Mallesh, S. Suresh Kumar, H. S. Manjunatha

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The optimal estimation algorithm of coordinate informative parameters MSK signals of packet radio with unknown initial modulation law using matching pursuit and nonlinear chirplet... by R. A. Volkov

“…The optimal estimation algorithm for time of arrival of MSK radio signals of packet radio in area distributed receiving points of range difference position location system is developed. …”
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Random Walk‐Based GOOSE Algorithm for Solving Engineering Structural Design Problems by Sripathi Mounika, Himanshu Sharma, Aradhala Bala Krishna, Krishan Arora, Syed Immamul Ansarullah, Ayodeji Olalekan Salau

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A New Family of Spectral CG-Algorithm by Abbas Al-Bayati, Runak Abdullah

“…A new family of  CG –algorithms for large-scale unconstrained optimization is introduced in this paper using the spectral scaling for the search directions, which is a generalization of the spectral gradient method proposed by Raydan [14]. …”
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