Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network by Qiang Guo, Yunpeng Zhuang, Houzhuo Xu, Wei Li, Haitao Li, Zhidong Wu

Subjects: Get full text

Combined application of hierarchical and non-hierarchical clustering methods in order to segment the customers in one trade chain by Bjelobaba Goran, Savić Ana, Janićijević Stefana, Stefanović Hana

Subjects: Get full text

Scalable Full-Stack Benchmarks for Quantum Computers by Jordan Hines, Timothy Proctor

Subjects: Get full text

Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

Subjects: “…diabetes prediction and diagnosis, machine learning, classifiers, algorithms.…”
Get full text

Train Scheduling Optimization for an Urban Rail Transit Line: A Simulated-Annealing Algorithm Using a Large Neighborhood Search Metaheuristic by Hai Zhang, Shaoquan Ni

“…A heuristic simulated-annealing algorithm is designed to solve the optimization model, and a case study of an urban rail transit line is performed to assess its efficacy. …”
Get full text

A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization by Binglin Liu, Qian Li, Zhihua Zheng, Yanjia Huang, Shuguang Deng, Qiongxiu Huang, Weijiang Liu

Subjects: Get full text

Mine water inflow prediction model based on variational mode decomposition and gated recurrent units optimized by improved chimp optimization algorithm by Juntao Chen, Mingjin Fan

Subjects: “…Improved chimp optimization algorithm…”
Get full text

EFP-GA: An Extended Fuzzy Programming Model and a Genetic Algorithm for Management of the Integrated Hub Location and Revenue Model under Uncertainty by Yaser Rouzpeykar, Roya Soltani, Mohammad Ali Afashr Kazemi

“…Results show that the proposed algorithm can obtain a suitable solution in a reasonable amount of time.…”
Get full text

An artificial intelligence optimization of NOx conversion efficiency under dual catalytic mechanism reaction based on multi-objective gray wolf algorithm by Zhiqing Zhang, Zicheng He, Yuguo Wang, Feng Jiang, Weihuang Zhong, Bin Zhang, Yanshuai Ye, Zibin Yin, Dongli Tan

“…And this was used as a guiding method to direct the multi-objective gray wolf optimization algorithm to optimize the basic parameters. The optimization results showed that the NH3 slip rate of the SCR was slightly improved and the denitrification efficiency was increased up to 28 % under different loads, which had guiding significance for the lightweighting and thermal control of industrial equipment.…”
Get full text

Strong Convergence of a Hybrid Projection Algorithm for Equilibrium Problems, Variational Inequality Problems and Fixed Point Problems in a Banach Space by Wariam Chuayjan, Sornsak Thianwan

“…We introduce and study a new hybrid projection algorithm for finding a common element of the set of solutions of an equilibrium problem, the set of common fixed points of relatively quasi-nonexpansive mappings, and the set of solutions of the variational inequality for an inverse-strongly-monotone operator in a Banach space. …”
Get full text

An Effective Hybrid Self-Adapting Differential Evolution Algorithm for the Joint Replenishment and Location-Inventory Problem in a Three-Level Supply Chain by Lin Wang, Hui Qu, Tao Chen, Fang-Ping Yan

“…To find an effective approach for the JR-LIP, a hybrid self-adapting differential evolution algorithm (HSDE) is designed. To verify the effectiveness of the HSDE, two intelligent algorithms that have been proven to be effective algorithms for the similar problems named genetic algorithm (GA) and hybrid DE (HDE) are chosen to compare with it. …”
Get full text

A realistic 2D multi-offset, multi-frequency synthetic GPR data set as a benchmark for testing new algorithms by G. Roncoroni, P. Koyan, E. Forte, J. Tronicke, M. Pipan

“…The data set provides a robust framework for validating advanced GPR algorithms and techniques such as pre-stack depth migration, amplitude versus offset analysis and full waveform inversion. …”
Get full text

A New Empirical Correlation for Estimation of EBF Steel Frame Behavior Factor under Near-Fault Earthquakes Using the Genetic Algorithm by Seyed Abdonnabi Razavi, Navid Siahpolo, Mehdi Mahdavi Adeli

“…In this paper, a new and accurate correlation is attempted to predict the behavior factor (q) of EBF steel frames, under near-fault earthquakes, using the genetic algorithm (GA). For this purpose, a databank consisting of 12960 data is created. …”
Get full text

A Hybrid Genetic-Simulated Annealing Algorithm for the Location-Inventory-Routing Problem Considering Returns under E-Supply Chain Environment by Yanhui Li, Hao Guo, Lin Wang, Jing Fu

“…To solve this NP-hard problem, an effective hybrid genetic simulated annealing algorithm (HGSAA) is proposed. Results of numerical examples show that HGSAA outperforms GA on computing time, optimal solution, and computing stability. …”
Get full text

A Fault Diagnosis Method for Oil Well Pump Using Radial Basis Function Neural Network Combined with Modified Genetic Algorithm by Deliang Yu, Yanmei Li, Hao Sun, Yulong Ren, Yongming Zhang, Weigui Qi

“…The advantage of this new method is its use of a simple feature extraction method and advanced genetic algorithm to optimize the threshold and weight of the RBF neural network. …”
Get full text

A Novel Approach for Detection of Pavement Crack and Sealed Crack Using Image Processing and Salp Swarm Algorithm Optimized Machine Learning by Nhat-Duc Hoang, Thanh-Canh Huynh, Xuan-Linh Tran, Van-Duc Tran

“…Subsequently, Salp Swarm Algorithm integrated with multiclass support vector machine is employed for pattern recognition. …”
Get full text

An optimal control method considering degradation and economy based on mutual learn salp swarm algorithm of an islanded zero‐carbon DC microgrid by Ying Han, Yujing Hou, Luoyi Li, Weifeng Meng, Qi Li, Weirong Chen

“…This paper provides an optimal control method based on the mutual learn salp swarm algorithm (MLSSA) in real‐time, which aims to enhance the economy and extend the system's service life. …”
Get full text

Development of a Novel Algorithm to Identify People with High Likelihood of Adult Growth Hormone Deficiency in a US Healthcare Claims Database by Kevin C. J. Yuen, Anna Camilla Birkegard, Lewis S. Blevins, David R. Clemmons, Andrew R. Hoffman, Nicky Kelepouris, Janice M. Kerr, Jens M. Tarp, Maria Fleseriu

“…Design. The algorithm was developed with, and applied to, data in the anonymized Truven Health MarketScan® claims database. …”
Get full text

Predictive method for poultry carcass visceral dimensions using 3D point cloud and Genetic Algorithm-based wavelet neural network by Zhengwei Zhu, Yan Chen, Lu Cai, Jinzhou Yang, Ke Wen, Jingjing Bao, Zhigang Hu, Dandan Fu

Subjects: Get full text

Development of cohort definitions and algorithms to identify patients with Lennox-Gastaut syndrome or Dravet syndrome from real-world administrative healthcare databases by Drishti Shah, Victoria Divino, Justin Chen, Arturo Benitez, Jeannine Roth, J. Scott Andrews

“…A targeted literature review was used to identify retrospective healthcare database studies identifying LGS or DS populations and develop overall draft cohort definitions and algorithms. Country-specific research explored the diagnosis codes and antiseizure medications (ASMs) with available indications for LGS or DS, with the findings used to adapt the cohort definitions and algorithms to country-specific settings. …”
Get full text