Artificial Intelligence and Human Rights by Nesrin Singil

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Investigation of Floating Offshore Wind Farm Layout Optimization Considering Mooring Line Constraints by Haiying Sun, Mingdan Li, Tianhui Fan, Chenzhi Cai

“…By carefully considering the buffer zones, the power potential of FOWFs with three-line, four-line, and six-line mooring configurations can be improved by 122%, 100%, and 78%, respectively. Then, a genetic algorithm is employed to optimize the FOWT positions and mooring line angles simultaneously. …”
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A comprehensive metric study of distributed PV consumption capacity considering multiple uncertainties by Chengmin Wang, Yangzi Wang, Fulong Song

“…A local chaotic search is introduced to improve the firefly algorithm, and the improved firefly algorithm is used to solve the comprehensive measurement model and output the comprehensive measurement results of the absorption capacity. …”
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Enhancing image retrieval through optimal barcode representation by Rasa Khosrowshahli, Farnaz Kheiri, Azam Asilian Bidgoli, H. R. Tizhoosh, Masoud Makrehchi, Shahryar Rahnamayan

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Optimization Method for Improving Efficiency of Thermal Field Reconstruction in Concrete Dam by Yunfei Xiang, Peng Lin, Haoyang Peng, Zichang Li, Yuanguang Liu, Yu Qiao, Zuobin Yang

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Resilience-oriented Transmission Expansion Planning with Optimal Transmission Switching Under Typhoon Weather by Yang Yuan, Heng Zhang, Haozhong Cheng, Zheng Wang

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FADQN: A Heuristic Reinforcement Learning Mechanism for UAV Path Planning in Unknown Environment by Wei Sun, Jing Huan, Qi Wang, Hualong Yu, Shang Gao

“…However, traditional DRL algorithms often suffer from slow convergence. To address this issue, this paper introduces an enhanced deep reinforcement learning algorithm, termed Firefly Algorithm-enhanced Deep Q-Network (FADQN). …”
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Chaotic evolutionary multi-objective optimization for multivariate pair trading in tehran stock exchange: the distance approach by Hossein Nikoo, Jamal Barzgari khanagha, Hamid Reza Mirzaei

“…To achieve multiple goals, the developed type of genetic algorithm, namely, The Chaotic Non-dominated Sorting Genetic Algorithm (CNSGA-II), was used. …”
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A Framework for Low-Carbon Container Multimodal Transport Route Optimization Under Hybrid Uncertainty: Model and Case Study by Fenling Feng, Fanjian Zheng, Ze Zhang, Lei Wang

“…Subsequently, a multi-strategy improved whale optimization algorithm (WOA) is developed to solve the formulated model. …”
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Comprehensive Benefit Evaluation for Prefabricated Buildings Based on NSGA-II and Simulated Annealing Optimization Projection Pursuit Method by Fang Wang, Binbin Dai, Shiyu Song

“…Finally, the NSGA-II and simulated annealing algorithm optimization projection pursuit method are applied to solve and evaluate the comprehensive benefit model, obtaining the optimal prefabricated component solution with the best comprehensive benefits. …”
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Time Prediction in Ship Block Manufacturing Based on Transfer Learning by Jinghua Li, Pengfei Lin, Dening Song, Zhe Yan, Boxin Yang, Lei Zhou

“…This research addresses a critical gap in ship block manufacturing time prediction.…”
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GIS spatial optimization for agricultural crop allocation using NSGA-II by Tipaluck Krityakierne, Pornpimon Sinpayak, Noppadon Khiripet

“…To speedup the convergence of the algorithm, we introduce more suitable crossover and mutation operators in NSGA-II, aiming to direct the search towards the Pareto optimal solutions. …”
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Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources by Hatoon Alharbi, Ali Hur, Hasan Alkahtani, Hafiz Farooq Ahmad

“…However, constructing an efficient knowledge graph poses challenges. In our research, we construct a cybersecurity knowledge graph (CKG) autonomously using heterogeneous data sources. …”
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Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics by Kassem Danach, Hassan Harb, Louai Saker, Ali Raad

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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

“…The ensemble genetic algorithm and convolutional neural network (EGACNN) are proposed to enhance image classification by fine-tuning hyperparameters. …”
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A Compressed Sequence Tag Index for Fast Peptide Retrieval and Efficient Storage in Protein Identification Search Engines by Xiaoyu Xie, Yuyue Feng, Piyu Zhou, Di Zhang, Lijin Yao, Haipeng Wang

“…Based on STIP, we design a peptide retrieval algorithm named STIP-Search. This algorithm utilizes the sequence tag index constructed by STIP for peptide sequence retrieval. …”
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Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network by Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu

“…Machine learning has started to be used in engine research to optimize combustion and predict fuel spray characteristics. …”
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Aerodynamic Optimization Method for Propeller Airfoil Based on DBO-BP and NSWOA by Changjing Guo, Zhiling Xu, Xiaoyan Yang, Hao Li

“…To address the issues of tedious optimization processes, insufficient fitting accuracy of surrogate models, and low optimization efficiency in drone propeller airfoil design, this paper proposes an aerodynamic optimization method for propeller airfoils based on DBO-BP (Dum Beetle Optimizer-Back-Propagation) and NSWOA (Non-Dominated Sorting Whale Optimization Algorithm). The NACA4412 airfoil is selected as the research subject, optimizing the original airfoil at three angles of attack (2°, 5° and 10°). …”
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An improved lightweight tiny-person detection network based on YOLOv8: IYFVMNet by Fan Yang, Lihu Pan, Hongyan Cui, Linliang Zhang

“…This operation also reduces the computational cost by decreasing the amount of required feature map channels, while maintaining the effectiveness of the feature representation. (3) he Minimum Point Distance Intersection over Union loss function is employed to optimize bounding box detection during model training. (4) to construct the overall network structure, the Layer-wise Adaptive Momentum Pruning algorithm is used for thinning.ResultsExperiments on the TinyPerson dataset demonstrate that IYFVMNet achieves a 46.3% precision, 30% recall, 29.3% mAP50, and 11.8% mAP50-95.DiscussionThe model exhibits higher performance in terms of accuracy and efficiency when compared to other benchmark models, which demonstrates the effectiveness of the improved algorithm (e.g., YOLO-SGF, Guo-Net, TRC-YOLO) in small-object detection and provides a reference for future research.…”
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On the Performance of Downlink Channel Estimation‐Based Cell‐Free Massive MIMO Systems Under Correlated Rician Fading Channels by Jiarui Li, Yao Zhang, Fengjiao Gan, Na Liu, Longxiang Yang, Hongbo Zhu

“…ABSTRACT The prevailing research on cell‐free massive multiple‐input multiple‐output (MIMO) systems posits that, due to channel reciprocity and channel hardening properties, user equipment (UEs) can decode downlink data solely based on uplink statistical channel state information (CSI). …”
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