An intelligent comprehensive scoring approach based on improved differential evolution algorithm by WANG Rongsheng, WANG Xiaogang, LONG Yixuan, LYU Yisheng, YUAN Zhiming

“…The constraint and the criterion of abnormal scores were also analyzed. Secondly, an intelligent comprehensive scoring approach had been proposed based on improved differential evolution algorithm, which introduced the following three improvements to the traditional differential evolution algorithm framework: a real encoding and decoding method was developed based on the score weights. …”
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Improved simultaneous localization and mapping algorithm combined with semantic segmentation model by Xuerong Cui, Shengjie Xue, Juan Li, Shibao Li, Jianhang Liu, Haihua Chen

“…Meanwhile, the average processing time is also reduced by 21.84%.…”
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Encryption Algorithm MLOL: Security and Efficiency Enhancement Based on the LOL Framework by Xinyue Zhang, Daoguang Mu, Wenzheng Zhang, Xinfeng Dong

“…It significantly simplifies security evaluation, making it suitable for automated analysis tools, and offers a feasible new approach for AEAD algorithm design.…”
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An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM by Wei Liu, Fan Hua, Yongping Cui, Yangchao Xu, Han Liu

“…This study introduces an enhanced power load forecasting algorithm, integrating slime mould algorithm (SMA) and long short‐time memory (LSTM) to effectively address the hyperparameter challenges associated with LSTM, while also applying variational modal decomposition (VMD) to load forecasting. …”
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Psychological artificial intelligence: Designing algorithms to deal with the uncertainty of rework in construction by Peter E.D. Love, Jane Matthews, Weili Fang

“…To this end, the contributions of this paper are twofold as it: (1) brings to the fore a new line of inquiry to deal with not only the uncertainty of rework using psychological insights to design simple algorithms but also unexpected events in general; and (2) provides guidance to ensure the design of algorithms to deal with the uncertainty that reflects the actualities of practice.…”
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An optimize canny algorithm with traditional machine learning for edge detection enhancement by Russel Lafta, Zainab Sultani

“…Also, a new approach for estimating Canny algorithm thresholds has been developed using the Flower Pollination algorithm. …”
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A New S-Box Design by Applying Bat Algorithm Based Technique by Maiya Din, Saibal K. Pal, S.K. Muttoo, Sushila Madan

“…In the proposed research work, Bat Algorithm based swarm technique is proposed to design strong S-boxes.  …”
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Black box algorithms and the rights of individuals: no easy solution to the “explainability” problem by Jarek Gryz, Marcin Rojszczak

“…First, to demonstrate that the interpretability of “black box” machine learning algorithms is a challenging technical problem for which no solutions have been found. …”
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Genetic Algorithms for a Scheduling Problem of Parcel Delivery and Pickup by Drones by Yohei Hazama, Hitoshi Iima, Yoshiyuki Karuno

“…In logistics, it is necessary to provide not only delivery service but also pickup service, and drones can be used for the pickup service. …”
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Optimal Speed and Position Controller for PMDC Motor Based GWO Algorithm by Iman S. Kareem, Sahar R. Al-Sakini, Ghassan A. Bilal

“…The Grey Wolf Optimizations GWO Algorithm, is the newer technique to optimize the uncertain optimization problems by autotuning parameters. …”
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An Exact Top- Query Algorithm with Privacy Protection in Wireless Sensor Networks by Huang Haiping, Feng Juan, Wang Ruchuan, Qin XiaoLin

“…At the same time, privacy of data in this algorithm is also guaranteed.…”
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An Energy-Efficient CKN Algorithm for Duty-Cycled Wireless Sensor Networks by Lei Wang, Zhuxiu Yuan, Lei Shu, Liang Shi, Zhenquan Qin

“…The algorithm EC-CKN, which takes the nodes' residual energy information as the parameter to decide whether a node to be active or sleep, not only can achieve the k -connected neighborhoods problem, but also can assure the k -awake neighbor nodes have more residual energy than other neighbor nodes in current epoch.…”
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Optimization Neuro Fuzzy Using Genetic Algorithm For Diagnose Typhoid Fever by Muhamad Nasrul Fata, Riza Arifudin, Budi Prasetiyo

“…The application of Neuro Fuzzy is to identify disease. Genetic algorithms can be used to find solutions without paying attention to the subject matter specifically, one of which is an optimization problem. …”
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An adaptive genetic algorithm with double populations for solving traveling salesman problems by Taishan Yan, Xin Chen, Baoshuang Yan

“…When the TSP in a large scale are solved by traditional optimization methods, the computation is large, the iteration time is long, and the result may not be optimal. The genetic algorithm is a highly favored optimization algorithm, but due to the lack of diversity in population and genetic individuals, it also has the same limitations when solving large-scale TSPs. …”
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Algorithm Optimization for Rockfalls Alarm System Based on Fiber Polarization Sensing by Saverio Pellegrini, Giuseppe Rizzelli, Marco Barla, Roberto Gaudino

“…Our findings show that the system can correctly sense all the experimentally generated rockfall phenomena and for all the installed fiber configurations, and it is also robust to false alarms, provided that the monitoring algorithm main parameters are properly set.…”
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An intelligent comprehensive scoring approach based on improved differential evolution algorithm by WANG Rongsheng, WANG Xiaogang, LONG Yixuan, LYU Yisheng, YUAN Zhiming

“…The constraint and the criterion of abnormal scores were also analyzed. Secondly, an intelligent comprehensive scoring approach had been proposed based on improved differential evolution algorithm, which introduced the following three improvements to the traditional differential evolution algorithm framework: a real encoding and decoding method was developed based on the score weights. …”
Get full text

Bank Customer Segmentation and Marketing Strategies Based on Improved DBSCAN Algorithm by Xiaohua Yan, Yufeng Li, Fuquan Nie, Rui Li

“…This study conducts a case study on the characteristics of fixed deposit businesses in a Portuguese bank, analyzing the current customer data features and the limitations of marketing strategies. It also highlights the limitations of the traditional DBSCAN algorithm, including issues with parameter selection and a lack of diverse clustering metrics. …”
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Low error floor LT coding algorithm for unequal error protection by Xin SONG, Shuyan NI, Zhe ZHANG, Yurong LIAO, Tuofeng LEI

“…As the first achievable rateless code,the rateless LT code can be conveniently used in conjunction with the UEP algorithm to realize adaptive data transmission.However,the conventional UEP-LT code algorithm has problems such as high error floor and poor convergence performance in the additive white Gaussian noise(AWGN)channel.Therefore,an improved systematic UEP-LT coding scheme is designed in this paper. …”
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ALGORITHM OF PREPARATION OF THE TRAINING SAMPLE USING 3D-FACE MODELING by D. I. Samal, I. I. Frolov

“…The algorithm of preparation and sampling for training of the multiclass qualifier of support vector machines (SVM) is provided. …”
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An Adaptive Sampling Algorithm for Target Tracking in Underwater Wireless Sensor Networks by Yanlong Sun, Yazhou Yuan, Xiaolei Li, Qimin Xu, Xinping Guan

“…Finally, the simulations show that, compared to the existing adaptive sampling algorithm, the proposed algorithm not only saves about 36% of energy but also alleviates the imbalance of energy consumption in different parts of the tracking area.…”
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