Influence of Source Term Algorithm on Irradiation Induced Microstructure Evolution Based on Cascade Collision Defect Database by Cluster Dynamics Method by WANG Dongjie#, PAN Caifu#, WU Shi, HE Xinfu, DOU Yankun, YANG Wen

“…The results are consistent with the experimental data. Since there are differences in the size distribution of defect clusters after irradiation simulation with the five algorithms, after analysis, it is believed that the fifth source term algorithm is the most reasonable. …”

Time Evolution of Bacterial Resistance Observed with Principal Component Analysis by Claudia P. Barrera Patiño, Mitchell Bonner, Andrew Ramos Borsatto, Jennifer M. Soares, Kate C. Blanco, Vanderlei S. Bagnato

“…<b>Results</b>: The processing and data analysis with machine learning algorithms performed on this FTIR spectral database allowed for the identification of patterns across minimum inhibitory concentration (MIC) values associated with different exposure times and both clusters from hierarchical classification and PCA. …”
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Study of in situ stress inversion of deeply incised valleys considering the river evolution process by Xianliang Wang, Changgui Zhao, Fenyuan Cheng, Zhiwei Ma, Wei Qi, Yinling Dou, Hao Lan, Jianhai Zhang, Benguo He, Lingying Peng, Wei Du

“…In this method, unit extrusion, shear movements and gravity are carried out at different periods of valley evolution to simulate the effects of tectonic movements at different geological times on the current geostress field. …”
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Optimizing the Joint Replenishment and Channel Coordination Problem under Supply Chain Environment Using a Simple and Effective Differential Evolution Algorithm by Lin Wang, Hui Qu, Shan Liu, Can Chen

“…To solve this NP-hard problem, a simple and improved differential evolution algorithm (IDE) is developed. The performance of the IDE is verified by benchmark functions. …”
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Competitive Elimination Improved Differential Evolution for Wind Farm Layout Optimization Problems by Sichen Tao, Yifei Yang, Ruihan Zhao, Hiroyoshi Todo, Zheng Tang

“…Therefore, metaheuristic algorithms with inherent discrete characteristics like genetic algorithms (GAs) and particle swarm optimization (PSO) have been extensively developed into current state-of-the-art WFLOP optimizers. …”
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Identification and Estimation of Landslide Erosion Rate Based on Particle Swarm Optimization Algorithm by GENG Haopeng, XU Ziyi, GUO Yu, ZHANG Jian

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Revealing High‐Temporal‐Resolution Flood Evolution With Low Latency Using GRACE Follow‐On Ranging Data by Hao‐si Li, Shuang Yi, Zi‐ren Luo, Peng Xu

“…To address this problem, this study develops an improved algorithm accounting for peripheral signal sources and temporal correlations in mass variation. …”
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A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search by Weizhong Wang, Hai-Lin Liu, Hongjian Shi

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Genetic Algorithm Approach to a Concurrent Real-Time Optimization Problem in the Embedded System Design Process by Górski Adam M., Ogorzałek Maciej

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Multi-Objective Improved Differential Evolution Algorithm-Based Smart Home Energy Management System Considering Energy Storage System, Photovoltaic, and Electric Vehicle by Mina GhasemiGarpachi, Moslem Dehghani, Mokhtar Aly, Jose Rodriguez

“…A multi-objective improved differential evolution algorithm is used to solve the HEMSs. Based on the outcome, PV, ESS, and PHEV reduce the costs and also reduce the wasted energy of PV close to zero. …”
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A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization by Sichen Tao, Sicheng Liu, Ruihan Zhao, Yifei Yang, Hiroyoshi Todo, Haichuan Yang

“…In this paper, we propose a Fractional-Order Difference-driven DE Optimization Algorithm called FODE. …”
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A contract-based cooperative spectrum sharing model in cognitive radio network by Guangqiang SHI, Ying LIU, Xiaomin MU

“…A contract-based cooperative spectrum sharing model in cognitive radio network was proposed.In this model,secondary user offers relay service for primary user when primary user's channel is poor.In return,when primary user's channel is good,secondary user can use spectrum with the underlay mode under the condition that the interference is limited.Contract theory in economics was introduced to this framework,the problem of collaboration between the primary and secondary users was modeled as a contract design problem,and the effectiveness function of evaluate primary and secondary users on contract revenue was set up.And the differential evolution algorithm was used to solve the problem.Finally,in different circumstances,primary user collaboration and un-collaboration were contrasted.The results showed that the main users under the condition of no additional input spectrum,not only save the sending power,but also effectively improve the data transfer rate,and improve the energy efficiency and spectrum efficiency.…”
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Predicting the Magnitude of Earthquakes Using Grammatical Evolution by Constantina Kopitsa, Ioannis G. Tsoulos, Vasileios Charilogis

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The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks by Zhichun Yang, Fan Yang, Yu Liu, Huaidong Min, Zhiqiang Zhou, Bin Zhou, Yang Lei, Wei Hu

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Production Quality Evaluation of Electronic Control Modules Based on Deep Belief Network by Hua Gong, Wanning Xu, Congang Chen, Wenjuan Sun

“…To evaluate the production quality of electronic control modules, an algorithm based on a Deep Belief Network with Multi-mutation Differential Evolution (MDE-DBN) is designed in this study. …”
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Effective NSGA-II Algorithm for a Limited AGV Scheduling Problem in Matrix Manufacturing Workshops with Undirected Material Flow by Xuewu Wang, Jianing Zhang, Yi Hua, Rui Yu

“…To address this LAGVSP, a mixed-integer linear programming model is built, and a nondominated sorting genetic algorithm II based on dual population co-evolution (NSGA-IIDPC) is proposed. …”
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Heterogeneous Differential Evolution for Numerical Optimization by Hui Wang, Wenjun Wang, Zhihua Cui, Hui Sun, Shahryar Rahnamayan

“…Differential evolution (DE) is a population-based stochastic search algorithm which has shown a good performance in solving many benchmarks and real-world optimization problems. …”
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Genetic clustering algorithm by M. A. Anfyorov

“…The genetic algorithm of clustering of analysis objects in different data domains has been offered within the hybrid concept of intelligent information technologies development aimed to support decision-making. …”
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Algorithmic Shadow Spectroscopy by Hans Hon Sang Chan, Richard Meister, Matthew L. Goh, Bálint Koczor

“…We present shadow spectroscopy as a simulator-agnostic quantum algorithm for estimating energy gaps using very few circuit repetitions (shots) and no extra resources (ancilla qubits) beyond performing time evolution and measurements. …”
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On the machine learning algorithm combined evolutionary optimization to understand different tool designs’ wear mechanisms and other machinability metrics during dry turning of D2... by Muhammad Sana, Muhammad Umar Farooq, Sana Hassan, Anamta Khan

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