Optimization of regional coverage satellite constellations based on ant colony algorithm by WEI Jiao-long, CEN Zhao-hui

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Ship pipeline collaborative layout optimization based on EPA-star algorithm by Zhiyao YANG, Hongshuo ZHANG, Yan LIN

“…ObjectivesAiming to overcome the efficiency and engineering practicality issues of existing pipeline layout design methods, this study explores a high-efficiency EPA-star (escape pruning A-star algorithm) for pipeline layout optimization.MethodThe layout space is discretized based on the escape graph method, the resulting connection points are stored as the adjacency table, the estimated traversal cost and penalty function are introduced to reduce the bending and folding phenomenon in the path, and the path is pruned to improve the quality of paths in the case of large spans. …”
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Research on the Gas Emission Quantity Prediction Model of Improved Artificial Bee Colony Algorithm and Weighted Least Squares Support Vector Machine (IABC-WLSSVM) by Lei Wang, Jinghang Li, Wenbo Zhang, Yu Li

“…In order to further accurately predict gas emission of working face, this paper proposes a prediction model of gas emission of working face based on the combination of improved artificial bee colony algorithm and weighted least squares support vector machine (IABC-WLSSAVM). …”
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Efficient parameter extraction in PV solar modules with the diligent crow search algorithm by Mostafa Jabari, Morteza Azimi Nasab, Mohammad Zand, Lilia Tightiz, Sanjeevikumar Padmanaban, Juan C. Vasquez Q

“…Consequently, the enhanced algorithm is termed the diligent crow search optimization algorithm (DCSA). …”
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Synergistic coupling of ultrasonic cavitation with tailored deep eutectic solvent systems for intensified extraction of Scutellaria Radix flavonoids: Modelling and optimization by... by Qi Cui, Jia-Yi Shi, Le-Le Wen, Wei-Hua Kong, Li-Jie Jiang, Ju-Zhao Liu

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Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms by Manal Abdullah Alohali, Sultan Alahmari, Mohammed Aljebreen, Mashael M. Asiri, Achraf Ben Miled, Sami Saad Albouq, Othman Alrusaini, Ali Alqazzaz

“…The parameter tuning process is performed through the pelican optimization algorithm (POA) to improve the classification performance of the BiLSTM-MHSA classifier. …”
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UAV Path Planning under Dynamic Threats Using an Improved PSO Algorithm by Jong-Jin Shin, Hyochoong Bang

“…In addition, terrain masking, nonisotropic radar cross section (RCS), and dynamic constraints of UAV are considered to determine the cost of the path. An improved particle swarm optimization (PSO) algorithm is proposed for finding an optimal path. …”
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Offshore Optical-wireless Integrated Access Network Deployment Algorithm based on MHA-MAD by LI Xuehua, XI Tong, WANG Xin, HUANG Xiang

“…Furthermore, compared to multi-agent Deep Q-Network (DQN) method without the multi-head attention, MHA-MAD algorithm improves the performance by nearly 8% in the joint optimization objective of minimizing overall network deployment costs, node power consumption, link attenuation, and network deployment risk probabilities.…”
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Spatially optimized allocation of water and land resources based on multi-dimensional coupling of water quantity, quality, efficiency, carbon, food, and ecology by Yingbin Wang, Haiqing Wang, Jiaxin Sun, Peng Qi, Wenguang Zhang, Guangxin Zhang

“…The GridLOpt model enables grid-based layout and spatial allocation of landscape structure in optimized scenarios, improving ecological connectivity and controlling the costs associated with landscape changes. …”
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Hybrid strategy enhanced crayfish optimization algorithm for breast cancer prediction by Yu-Jiong Li

“…When combined with Extreme Learning Machine (ELM) and applied to the Wisconsin breast cancer dataset, the MSCOA-ELM model achieved 100% accuracy and F1 score, a 28.9% improvement over the baseline ELM, demonstrating the algorithm’s efficiency and generalization ability in solving practical optimization problems.…”
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Parameters Identification for Photovoltaic Module Based on an Improved Artificial Fish Swarm Algorithm by Wei Han, Hong-Hua Wang, Ling Chen

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An Enhanced Local Optimization Algorithm for GNSS Shadow Matching in Mobile Phones by Xianggeng Han, Nijia Qian, Jingxiang Gao, Zengke Li, Yifan Hu, Liu Yang, Fangchao Li

“…In the context of mobile phones, the local optimal global navigation satellite systems (GNSS) shadow matching algorithm, which is based on the urban three-dimensional model, can effectively reduce the error of GNSS pseudo-range single-point positioning. …”
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EG-DPoS: Optimized DPoS Consensus Algorithm Based on Evolutionary Game by LIU Yong, DENG Xiaohong, LIU Lihui, SHI Yiran, ZHANG Li

“…Compared with other typical DPoS improved algorithms, EG-DPoS also has obvious performance advantages.…”
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Multi-AGV multitask collaborative scheduling based on an improved ant colony algorithm by Yazhen Zhu, Qing Song, Meng Li

“…This paper establishes a mathematical model with the optimization objective of minimizing the overall running time of material distribution tasks and proposes an improved ant colony algorithm to optimize the model. …”
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Harris Hawk optimization algorithm with combined perturbation strategy and its application by Zihe Wang, Xiaohui Wei

“…Abstract Solving complex engineering optimization problems can improve design quality, reduce costs, and enhance performance and reliability. …”
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Prediction of Vehicle Interior Wind Noise Based on Shape Features Using the WOA-Xception Model by Yan Ma, Hongwei Yi, Long Ma, Yuwei Deng, Jifeng Wang, Yudong Wu, Yuming Peng

“…The key hyperparameters of the Xception model are adaptively optimized using the whale optimization algorithm to improve the prediction accuracy and generalization ability of the model. …”
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Exploring Evolutionary Algorithms for Multi-Objective Optimization in Seismic Structural Design by Seda Göktepe Körpeoğlu, Süleyman Mesut Yılmaz

“…While genetic algorithms are used to improve both the cost and seismic performance of the structure, particle swarm optimization is used to optimize the vibration and displacement performance of structures. …”
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Simulation modeling of parts stamping line with four presses by S. V. Lukyanets, S. V. Snisarenko, M. A. Lishay

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FATIGUE CRACK GROWTH PREDICTION BASED ON IPSO-PF ALGORITHM by JIN Ting, WANG Xiaolei, LIU Yu, YUAN Jianming

“…The traditional Paris formula ignores the influence of various uncertain factors in the crack growth process, which leads to a big difference between the predicted crack growth process and the real crack growth process. In order to improve the prediction accuracy of fatigue crack growth, a fatigue crack growth prediction method based on the improved particle swarm optimization particle filtering (IPSO-PF) algorithm was proposed. …”
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Research on Parameter Extraction Method of Photovoltaic Module Based on Improved Hybrid Algorithm by Haitao Wu, Zhou Shang

“…Firstly, the analytical method is applied to simplify the equivalent circuit model and improve the efficiency of the algorithm. …”
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