How Does E-commerce Industry Benefit from Big Data by Zhu Suming

“…Moreover, big data empowers precision marketing by providing deep customer insights, enabling effective segmentation, supporting dynamic pricing strategies, facilitating continuous optimization, and helping to prevent fraud. The findings also highlight the successful implementation of big data in leading Chinese e-commerce platforms, further emphasizing its benefits. …”
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Data‐driven sampling pattern design for sparse spotlight SAR imaging by Yao Zhao, Wenkun Huang, Xiangyin Quan, Wing‐Kuen Ling, Zhe Zhang

“…In a deep learning‐based image reconstruction scheme, joint and continuous optimization of the sampling patterns and convolutional neural network parameters is achieved to improve the image quality. …”
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An Aircraft Laboratory Climatic Test Quality Control Model Based on Airworthiness Review by SHANG Wen

“…The establishment and continuous optimization of the quality control process and program of aircraft laboratory climatic test can form a quality review system that meets the requirement of the administrator and the needs of the users. …”
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Self-Tuning Lam Annealing: Learning Hyperparameters While Problem Solving by Vincent A. Cicirello

“…Using a variety of discrete and continuous optimization problems, we demonstrate the ability of the Self-Tuning Lam to nearly instantaneously converge to its target behavior independent of the scale of the cost function, as well as its run length. …”
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A multi-strategy improved tree–seed algorithm for numerical optimization and engineering optimization problems by Jingsen Liu, Yanlin Hou, Yu Li, Huan Zhou

“…Abstract Tree–seed algorithm is a stochastic search algorithm with superior performance suitable for solving continuous optimization problems. However, it is also prone to fall into local optimum and slow in convergence. …”
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Path planning for data assimilation in mobile environmental monitoring systems by Hover, Franz S.

“…By combining a low-order model of forecast errors, the extended Kalman filter, and classical continuous optimization, we develop an integrated methodology for planning mobile sensor paths to sample continuous fields. …”
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Learning sequences of approximations for hierarchical motion planning by Brandao, M, Havoutis, I

“…These properties become a continuous optimization variable that changes the sequence and parameters of sub-planners in the hierarchy. …”

The Emergency Braking Game: a game theoretic approach for maneuvering in a dense crowd of pedestrians by János Szőts, Zoltán Gyenes, Emese Gincsainé Szádeczky-Kardoss, Ladislau Bölöni, István Harmati

“…The distinction between non-critical and dangerous situations, as well as proof of safety, is based on a continuous optimization problem that we define. In this abstract problem, called Emergency Braking Game, one pedestrian is actively trying to collide with a continuously decelerating car. …”
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Optimization and field application of reservoir stimulation of the Sinian Deng 4 member in the Sichuan Basin by Lang Zhou

“…However, with development of the Moxi structure, such technology is unable to adapt the reservoir because it requires continuous optimization according to reservoir characteristics. …”
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Reactive Power Optimization for Distribution Network Based on Distributed Random Gradient-Free Algorithm by Jun Xie, Chunxiang Liang, Yichen Xiao

“…When considering the non-linear multi-objective functions with discrete and continuous optimization variables, the proposed random gradient-free algorithm is employed to the optimal operation of controllable devices for reactive power optimization. …”
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Binary Restructuring Particle Swarm Optimization and Its Application by Jian Zhu, Jianhua Liu, Yuxiang Chen, Xingsi Xue, Shuihua Sun

“…It streamlines the flow of the PSO algorithm, specifically targeting continuous optimization problems. In order to adapt RPSO for solving discrete optimization problems, this paper proposes the binary Restructuring Particle Swarm Optimization (BRPSO) algorithm. …”
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A hybrid Dragonfly algorithm for the vehicle routing problem with stochastic demands by Magdalene Marinaki, Andromachi Taxidou, Yannis Marinakis

“…Most of them are suitable for the solution of continuous optimization problems. One of them is the Dragonfly Algorithm that has been proved very efficient in the problems in which it has been applied. …”
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An Improved Mayfly Optimization Algorithm for Type-2 Multi-Objective Integrated Process Planning and Scheduling by Ke Yang, Dazhi Pan

“…The proposed encoding and decoding scheme can better transform the continuous optimization algorithm to apply to the combinatorial optimization problem. …”
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Intelligent Smart Marine Autonomous Surface Ship Decision System Based on Improved PPO Algorithm by Wei Guan, Zhewen Cui, Xianku Zhang

“…Compared with the proposed approach of the existing methods, this approach is more effective in self-learning and continuous optimization and thus closer to human manipulation.…”
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A comparison of mixed-variables Bayesian optimization approaches by Jhouben Cuesta Ramirez, Rodolphe Le Riche, Olivier Roustant, Guillaume Perrin, Cédric Durantin, Alain Glière

“…Discrete variables are recovered either subsequently to the continuous optimization, or simultaneously with an additional continuous-discrete compatibility constraint that is handled with augmented Lagrangians. …”
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Research on optimization of control parameters of gravity shaking table by Keshun You, Huizhong Liu

“…With these helps, the proposed optimization method has realized the continuous optimization of multiple control parameters of the shaking table, and the optimization results have a good guarantee.…”
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Analysis and optimization of industrial engineering and management operating environment based on human factors engineering by Ji Renzhou

“…It achieves the maximum output with minimum resource input, laying a solid foundation for the continuous optimization of industrial engineering.…”
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Precise diagnosis and treatment of non-muscle invasive bladder cancer - A clinical perspective by Yongjun Yang, Chen Wang, Zonglin Li, Qiang Lu, Yuanwei Li

“…In this review, the authors analyze the current existing shortcomings of en bloc resection and points out its future direction, in order to promote continuous optimization of the management strategy of bladder cancer.…”
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6.253 Convex Analysis and Optimization, Spring 2010 by Bertsekas, Dimitri

“…The aim is to develop the core analytical and computational issues of continuous optimization, duality, and saddle point theory using a handful of unifying principles that can be easily visualized and readily understood. …”
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MRF-based deformable registration and ventilation estimation of lung CT. by Heinrich, M, Jenkinson, M, Brady, M, Schnabel, J

“…Recently, Markov random field (MRF)-based discrete optimization strategies have been proposed to overcome problems involved with continuous optimization for registration, in particular its susceptibility to local minima. …”