Joint recommendation algorithm based on tensor completion and user preference by Zhi XIONG, Kai XU, Lingru CAI, Weihong CAI

“…Aiming at the problem that existing recommendation algorithms have little regard for user preference,and the recommendation result is not satisfactory,a joint recommendation algorithm based on tensor completion and user preference was proposed.First,a user-item-category 3-dimensional tensor was built based on user-item scoring matrix and item-category matrix.Then,the Frank-Wolfe algorithm was used for iterative calculation to fill in the missing data of the tensor.At the same time,a user category preference matrix and a scoring preference matrix were built based on the 3-dimensional tensor.Finally,a joint recommendation algorithm was designed based on the completed tensor and the two preference matrices,and the differential evolution algorithm was used for parameter tuning.The experimental results show that compared with some typical and newly proposed recommendation algorithms,the proposed algorithm is superior to the compare algorithms,the precision is improved by 1.96% ~ 3.44% on average,and the recall rate is improved by 1.35%~2.40% on average.…”
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A Review of Stochastic Optimization Algorithms Applied in Food Engineering by Laís Koop, Nadia Maria do Valle Ramos, Adrián Bonilla-Petriciolet, Marcos Lúcio Corazza, Fernando Augusto Pedersen Voll

“…It was observed that evolutionary methods are the most applied in solving food engineering optimization problems where the genetic algorithm and differential evolution stand out. Finally, remarks on the limitations and current challenges to improving the numerical performance of stochastic optimization methods for food engineering applications are also discussed.…”
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Policy Evolution of Government Procurement of Public Services in China: A Text-Mining Perspective by Dongdan Zhu, Yuting Zhang, Zhengnan Lu

“…Secondly, the TF-IDF algorithm is adopted to obtain keywords at each stage, and the static stage characteristics are summarized by constructing the complex network of the extracted keywords. …”
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The Morphological Classification of Galaxy Clusters: Algorithms for Applying the Numerical Criteria by Elena Panko

“…All algorithms are realized in the “Cluster Cartography” tool and can be used with data taken from different catalogs. …”
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Quantification and Evolution of Online Public Opinion Heat Considering Interactive Behavior and Emotional Conflict by Zhengyi Sun, Deyao Wang, Zhaohui Li

“…To address these issues, first, this study addressed the complexity of interaction behaviors by introducing an approach that employs the information gain ratio as a weighting indicator to measure the “interaction heat” contributed by different interaction attributes during event evolution. …”
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Tuning and Comparison of Optimization Algorithms for the Next Best View Problematic by Everardo Shain-Ruvalcaba, Efrain Lopez-Damian

“…The aim of this paper is to tune and compare different optimization algorithms on the Next Best View (NBV) problem, which consists in finding the next position that the sensor or camera needs to take to scan an object or scenery in its totality. …”
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Quasiparticle Cooling Algorithms for Quantum Many-Body State Preparation by Jerome Lloyd, Alexios A. Michailidis, Xiao Mi, Vadim Smelyanskiy, Dmitry A. Abanin

“…In this work, we develop a kinetic-theory framework to describe quasiparticle cooling dynamics, and employ it to compare the efficiency of different cooling algorithms. In particular, we introduce a protocol where coupling to auxiliaries is modulated in time to minimize heating processes, and demonstrate that it allows a high-fidelity preparation of ground states in different quantum phases. …”
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Overcoming Data Scarcity in Calibrating SUMO Scenarios With Evolutionary Algorithms by Jakob Kappenberger, Heiner Stuckenschmidt

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Flavivirus and Filovirus EvoPrinters: New alignment tools for the comparative analysis of viral evolution. by Thomas Brody, Amarendra S Yavatkar, Dong Sun Park, Alexander Kuzin, Jermaine Ross, Ward F Odenwald

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RPEM: Randomized Monte Carlo parametric expectation maximization algorithm by Rong Chen, Alan Schumitzky, Alona Kryshchenko, Keith Nieforth, Michael Tomashevskiy, Shuhua Hu, Romain Garreau, Julian Otalvaro, Walter Yamada, Michael N. Neely

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A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions by Na Xu, Zhuo Tang, Chenyi Si, Jinshan Bian, Chaoxu Mu

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Psychosemantic approach as the basis for the algorithmization technology of processing educational information by Elena V. Tsupikova, Margarita V. Tsyguleva

“…Semantic principles (matching of logical and linguistic categories, considering the text from the inner and outer speech, considering the text as cognitive and communicative essence; differentiation between the meaning and sense as between the semantics of the outer speech and the semantics of thinking; identification of semantic relationships between information elements, etc.), psychological and pedagogical principles (self-reflection support of learning activity; self-motivation due to determining usefulness and applicability of information; self-organization of students while creating their own algorithms of learning activity, etc.), and psycholinguistic principles (building logical supporting schemes, analogues of universal subject codes; semantic evaluation of the quantitative and qualitative characteristics of information, etc.)of work with scientific and educational profession-oriented information are described and correlated with the learning content and mechanisms of students verbal and cognitive activity. …”
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Internal deformation and damage evolution patterns of red sandstone using regularized digital volume correlation by HAO Yutong, MAO Lingtao, LIU Haizhou, YUAN Zexun, CAO Longkun, LI Dongxiao

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IDE-SVM algorithm and it's usage in physical layer security method for IoT by WANG Qiang, ZHU Chenming, PAN Su, QIN Yuxi

“…To address the problem that there is no standard for the parameter selection of support vector machine (SVM) algorithm, a parameter optimization selection method based on the integrated improved differential evolution (IDE) algorithm is proposed, which uses the minimization of the classification error rate as the optimization criterion and the improved differential evolution algorithm to optimize the combination of SVM parameters to obtain an SVM algorithm with higher classification accuracy. …”
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Differentiation characteristics and evolutionary mechanisms of agricultural regional functions in Loess Hilly and Gully Region by LONG Pei, WANG Yongsheng, LU Xue

“…By utilizing methods such as K-means clustering algorithm and geodetector, the differentiation characteristics and driving mechanisms of the evolution of county-level agricultural regional functions from 2000 to 2020 were investigated. …”
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Comparison of algorithms for multi-objective optimization of radio technical device characteristics by A. V. Smirnov

“…One of the compared algorithms comprises the Third Evolution Step of Generalized Differential Evolution (GDE3) population-based algorithm for searching the full approximation of the Pareto set simultaneously, while the other three algorithms minimize the scalar objective function to find only one element of the Pareto set in a single search cycle: these comprise Multistart Pattern Search (MSPS), Multistart Sequential Quadratic Programming (MSSQP) method and Particle Swarm Optimization (PSO) algorithms.Results. …”
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Optimal Robust Motion Controller Design Using Multiobjective Genetic Algorithm by Andrej Sarjaš, Rajko Svečko, Amor Chowdhury

“…The design of controllers and multiobjective optimization procedure involve a set of the objectives, which are optimized simultaneously with a genetic algorithm—differential evolution.…”
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Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art by Sotirios K. Goudos, Christos Kalialakis, Raj Mittra

“…In this paper, our primary focus is on Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), and Differential Evolution (DE), though we also briefly review other recently introduced nature-inspired algorithms. …”
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Robot inverse kinematics solution based on an improved whale optimization algorithm by WANG Ting, WU Quanjun

“…In order to overcome these problems, an improved whale optimization algorithm was used to solve its inverse kinematics.MethodsImproved whale optimization algorithm was proposed by integrating the mutation and selection operations of differential evolution algorithm into the whale optimization algorithm. …”
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Multi-Focus Image Fusion Using Energy Valley Optimization Algorithm by Harun Akbulut

“…The obtained experimental results are compared with the well-known Genetic Algorithm (GA), Differential Evolution Algorithm (DE), and Artificial Bee Colony Optimization Algorithm (ABC). …”
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