USV/UUV Cooperative Navigation Algorithm Based on Moving Long Baseline and Navigation Error Correction by Huifeng JIAO, Chen YE, Wenchu WANG, Zhaoyong MAO, Yintao WANG

“…Unmanned undersea vehicles(UUVs) undergo a cumulative increase of inertial navigation error caused by long-term cooperative movement. In order to reduce the relative navigation errors between unmanned surface vessels(USVs) and UUVs and improve the navigation accuracy of UUVs, a USV/UUV cooperative navigation algorithm based on moving long baseline and navigation error correction was proposed in this paper. …”
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A cooperative stochastic configuration network based on differential evolutionary sparrow search algorithm for prediction by Wenhao Fang, Bo Shen, Anqi Pan, Lei Zou, Baoye Song

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A cooperative dynamic target search approach for multi-UAV systems utilizing the MAPPO algorithm by Peiyan Zhang, Guodong Li

“…Traditional deep reinforcement learning models face challenges such as difficulty in convergence and long training times, which hinder their direct application to multi-UAV cooperative systems. In response to these issues, this study proposes an improved multi-agent proximal policy optimization algorithm (AS-MAPPO). …”
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A lifetime-enhancing cooperative data gathering and relaying algorithm for cluster-based wireless sensor networks by G Pius Agbulu, G Joselin Retna Kumar, A Vimala Juliet

“…The proposed lifetime-enhancing cooperative data gathering and relaying algorithm shares the nodes into clusters using a hybrid K-means clustering algorithm that combines K-means clustering and Huffman coding algorithms. …”
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Cooperative Control of Power Grid Frequency Based on Expert-Guided Deep Deterministic Policy Gradient Algorithm by Tao Shen, Jing Zhang, Yu He, Shengsun Yang, Demu Zhang, Zhaorui Yang

“…To address this challenge, the paper proposes a cooperative control method for power grid frequency based on the Expert-Guided Deep Deterministic Policy Gradient (EGDDPG) algorithm. …”
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A cooperative multi-agent reinforcement learning algorithm based on dynamic self-selection parameters sharing by Han WANG, Yang YU, Yuan JIANG

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A Metaheuristic Algorithm to Transporter Scheduling for Assembly Blocks in a Shipyard considering Precedence and Cooperating Constraints by Ning-Rong Tao, Zu-Hua Jiang, Jian-Feng Liu, Bei-Xin Xia, Bai-He Li

“…A hybrid topological graph is used to denote precedence and cooperating relationships of tasks. A metaheuristic algorithm based on the hybrid topological graph and genetic algorithm and Tabu search is proposed. …”
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An Elite Wolf Pack Algorithm Based on the Probability Threshold for a Multi-UAV Cooperative Reconnaissance Mission by Hanrui Zhang, Xiao Lv, Chao Ma, Liangzhong Cui

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Research on pose estimation algorithm of non-cooperative target tracked vehicles based on PnP model by Zhigang Ren, Xinagjun Tang, Guoquan Ren, Dinghai Wu

“…To address the pose estimation problem of non-cooperative tracked vehicles, this study proposes a non-iterative Perspective-n-Point (PnP) method. …”
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A Multiobjective Evolutionary Algorithm for Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Sensor Network by Weirong Liu, Gaorong Qin, Shuo Li, Jian He, Xiaoyong Zhang

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Cooperative vehicles for robust traffic congestion reduction: An analysis based on algorithmic, environmental and agent behavioral factors. by Prajakta Desai, Seng W Loke, Seng W Loke, Aniruddha Desai

“…Our previous work proposed a decentralized multiagent based vehicular congestion management algorithm entitled Congestion Avoidance and Route Allocation using Virtual Agent Negotiation (CARAVAN), wherein the vehicles acting as intelligent agents perform cooperative route allocation using inter-vehicular communication. …”
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Cooperative communication resources scheduling of satellite network using a mixed vector encoding heuristic algorithm by Jiaxuan Xie, Linling Kuang, Shan Gao

“…Mult-type variables and three coupling problems cause the cooperative scheduling problem to be complex. In this paper, we propose a mixed vector encoding heuristic algorithm (MVEHA) to optimize the joint resources allocation problem of the multiple beams satellite network. …”
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Model and Algorithm of Cooperative Optimization Decomposition for Short-Term Contract Electricity Considering Wind Power Uncertainty by Lingjie LIU, Jikeng LIN

“…Firstly, a cooperative optimization decomposition model and algorithm of short-term contract electricity is constructed with the objective of minimization of the generation cost, contract deviation cost and low-quality wind power risk cost, to obtain the decomposed daily contract electricity. …”
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Detection of Hydrophobicity Grade of Composite Insulators Based on MDC‐YOLO Algorithm by Shaotong Pei, Weiqi Wang, Chenlong Hu, Haichao Sun, Keyu Li, Mianxiao Wu, Bo Lan

“…Therefore, this paper proposes a MDC‐YOLO algorithm for water repellency detection and classification of composite insulators. …”
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Optimization of Composite Structures with Thin Rigid Fibers Using Bioinspired Algorithms by Arkadiusz Poteralski, Mirosław Szczepanik, Piotr Fedeliński

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Sensitivity Analysis of a CPAM Inverse Algorithm for Composite Laminates Characterization by Farshid Masoumi, Ahmad Ghasemi Ghalebahman

“…An inverse method based on particle swarm optimization algorithm is further provided using MATLAB software. …”
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The development of individual content educational courses composition algorithms genetic operators by Belomoytsev D.E.

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The Principle of Intelligent Switch Composition and Algorithm of the Built-In Electronic Voltage Transformer by Xinhui Cao, Yuting Dong, Zhongzheng Li, Juan Li, Gang Liang, Honglian Zhou

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Machine learning algorithms to predict the tensile strength of novel composite materials by S. Sathees Kumar, P. Shyamala, Pravat Ranjan Pati

“…Natural fiber-reinforced polymer (NFRP) composites are increasingly used in structural, automotive, and aerospace applications due to their lightweight, sustainable, and cost-effective properties. …”
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A Heuristic Algorithm for Optimal Service Composition in Complex Manufacturing Networks by Yinan Wu, Gongzhuang Peng, Hongwei Wang, Heming Zhang

“…The proposed algorithm is evaluated through a set of computational experiments in which the proposed algorithm and other popular algorithms such as MFPB_HOSTP are applied to the same dataset, and the results obtained show that DHA_OSCP can efficiently find the optimal service composition path with better Quality of Service (QoS). …”
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