An Improved Genetic Algorithm for Solving the Semi-Soft Clustered Vehicle Routing Problem by Yihao Miao, Xiaoguang Bao

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Improved Stochastic Gradient Matching Pursuit Algorithm Based on the Soft-Thresholds Selection by Zhao Liquan, Hu Yunfeng

“…The preliminary atom set exits redundant atoms in the stochastic gradient matching pursuit algorithm, which affects the accuracy of the signal reconstruction and increases the computational complexity. …”
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Predicting Soft Soil Settlement with a FAGSO-BP Neural Network Model by Binhui Ma, Yarui Xiao, Tian Lan, Chao Zhang, Zengliang Wang, Zeshi Xiang, Yuqi Li, Zijing Zhao

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Soft value flipping decoding algorithm for LDPC codes based on adjoint vectors sum by LIU Jian-quan1, XU You-yun1, CAI Yue-ming1

“…By analyzing the soft value distribution while belief propagation defeated, a soft value flipping decoding algo-rithm based on adjoint vectors sum was presented.With translating the error times of check equation which obtained by adjoint vectors sum into error bits distribution parameter and flipping some bit nodes soft value only once at certain itera-tion by a selection regulation, the frame error rate of the proposed algorithm for LDPC codes which have much more correlative rows can be reduced to a larger extent without complexity increase nearly（only O（N））.…”
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Soft value flipping decoding algorithm for LDPC codes based on adjoint vectors sum by LIU Jian-quan1, XU You-yun1, CAI Yue-ming1

“…By analyzing the soft value distribution while belief propagation defeated, a soft value flipping decoding algo-rithm based on adjoint vectors sum was presented.With translating the error times of check equation which obtained by adjoint vectors sum into error bits distribution parameter and flipping some bit nodes soft value only once at certain itera-tion by a selection regulation, the frame error rate of the proposed algorithm for LDPC codes which have much more correlative rows can be reduced to a larger extent without complexity increase nearly（only O（N））.…”
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Soft detection model of corrosion leakage risk based on KNN and random forest algorithms by Yang YANG, Chengzhi LI, Xuan DU, Xiao YU, Shaohua DONG

“…These identified indicators were then employed to develop an intelligent soft detection model that integrates pipeline and environmental data, based on the K-Nearest Neighbor (KNN) and Random Forest algorithms. …”
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Nonlinear Structural Acoustic Control with Shunt Circuit Governed by a Soft-Computing Algorithm by Sebastian KURCZYK, Marek PAWEŁCZYK

“…The proposed control algorithm is based on algorithms from a group of soft computing. …”
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A backbone-based inverse kinematics and head traction path-following algorithm for soft manipulators by Hang Li, Chengkai Xia, Zhenbang Xu, Kai Wang, Huayang Sai, Xiaoming Wang, Peng Yu, Xin Li, Hexin Li, Yanbo Wang

“…Finally, the feasibility of both algorithms is validated through comprehensive simulations.…”
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Retracted: Calculation and Analysis of Nonlinear Algorithm for Stability of Nanosilica Powder Soft Soil Pile Foundation by International Journal of Analytical Chemistry

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Enterprise fission path optimization and dynamic capability construction based on the soft actor-critic algorithm by Hengsheng Gu

“…Abstract This study aims to explore the enterprise fission path optimization strategy based on the Soft Actor-Critic (SAC) algorithm and analyze its impact on the parent company and the overall operational efficiency. …”
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Seismic Behavior of a Timber Structure Based on a Soft-Kill BESO Optimization Algorithm by Felipe Solis, Pablo F. Parra, Patricio Cendoya, Luis F. Gonzalez-Böhme, Francisco Quitral-Zapata, Ricardo Gallardo

“…The structural configuration was obtained through a topology optimization process using a variation of a soft-kill BESO algorithm implemented in MATLAB R2015a, obtaining topologies with low structural redundancy. …”
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Algorithm Optimization and Implementation of WTB Inauguration by CHEN Zhishuai, WAGN Lide, YAN Xiang, SHEN Ping

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Soft actor-critic algorithm and improved GNN model in secure access control of disaggregated optical networks by Zhenqian Zhao, Yuhe Wang

“…Within this framework, the Soft Actor-Critic (SAC) algorithm is employed to construct a policy optimization mechanism. …”
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A competitive coevolution-based evolutionary algorithm for the parallel inverse design of multiple soft network materials by Xiao Feng, Yuchen Lai, Xing Yang, Yongbin Yu, Fangling Li, Xiangxiang Wang, Jiacheng Liang, Jingye Cai, Shunze Cao

Subjects: “…Soft network materials…”
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A multiobjective evolutionary algorithm incorporating neighborhood detection for the vehicle routing problem with soft time windows by Hao Jiang, Zhiwei Zhang, Chao Wang, Xiaoshu Xiang

Subjects: “…Vehicle routing problem with soft time windows…”
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Scope for Applications Management in India of Soft Computing in effective Classroom by Souren Bhattacharya, Subhasree Pal, Parimal Sarkar

“…Where the general age-old system fails to diagnose, Soft Computing emerges as the only way to detect, analyze and solve the problem with utmost excellence and adequacy. …”
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Metaheuristic Algorithms to Determine PID Controller Parameters for Mobile Robots by DINH Quy Long, NGUYEN Tuan Minh, NGUYEN The Dung

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Linearized MILP Model With Improved Soft Actor-Critic Algorithm for Dynamic and Efficient Active Distribution Network Planning by Jinlin Liao, Guilian Wu, Jia Lin

“…Then, by analyzing the distributed network planning objective function and constraints, a mixed integer linear planning (MILP) model for distributed networks is proposed. And an improved Soft Actor-Critic (ISAC) algorithm is proposed to solve the model. …”
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Mixture of Experts Framework Based on Soft Actor-Critic Algorithm for Highway Decision-Making of Connected and Automated Vehicles by Fuxing Yao, Chao Sun, Bing Lu, Bo Wang, Haiyang Yu

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Enhanced Prediction and Evaluation of Hydraulic Concrete Compressive Strength Using Multiple Soft Computing and Metaheuristic Optimization Algorithms by Tianyu Li, Xiamin Hu, Tao Li, Jie Liao, Lidan Mei, Huiwen Tian, Jinlong Gu

“…To address this issue, this study introduces a novel hybrid method for predicting concrete compressive strength by integrating multiple soft computing algorithms and the stacking ensemble learning strategy. …”
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