Robot Path Planning of Improved Adaptive Ant Colony System Algorithm Based on Dijkstra by Chonglin Gu, Ansong Feng, Guozhan Wang, Xiqing Liu

“…The characteristics of the improved Ant Colony System Algorithm are faster convergence speed and better planning.…”
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Multi-Strategy Improved Harris Hawk Optimization Algorithm and Its Application in Path Planning by Chaoli Tang, Wenyan Li, Tao Han, Lu Yu, Tao Cui

“…For this reason, this paper proposes a Multi-strategy Improved Harris Hawk Optimization (MIHHO) algorithm. …”
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Improved gray wolf harris hawk algorithm based feature selection for sentiment analysis by Tamara Amjad Al-Qablan, Mohd Halim Mohd Noor, Mohammed Azmi Al-Betar, Ahamad Tajudin Khader

“…The integration of HHO significantly improves the algorithm’s ability to escape local optima, making the binary hybrid Aβ-BGWHHO algorithm a more effective tool for SA, addressing Aβ-BGWO’s limitations and enhancing FS outcomes.…”
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An Improved Centralized Cognitive Radio Network Spectrum Allocation Algorithm Based on the Allocation Sequence by Jianli Zhao, Jinsha Yuan

“…Simulation results show that the improved algorithm can significantly reduce the time overhead and can have better fairness compared with other existing Collaborative-Max-Sum-Reward (CSUM), Collaborative-Max-Min-Reward (CMIN), and Collaborative-Max-Proportional-Fair (CFAIR) algorithms under the same design criterion.…”
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An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

“…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …”
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Position Deployment Optimization of Maneuvering Conventional Missile Based on Improved Whale Optimization Algorithm by Yaxiong Li, Xinwei Zhang, Jiufen Zhao, Xinzhi Yang, Mingyuan Xi

“…Second, the whale optimization algorithm (WOA) is improved, and the convergence factor which changes nonlinearly with the number of evolution is introduced to coordinate the local development and global search ability of the algorithm. …”
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Solving UAV 3D Path Planning Based on the Improved Lemur Optimizer Algorithm by Haijun Liang, Wenhai Hu, Ke Gong, Jie Dai, Lifei Wang

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Face Detection Combining the YCbCr Skin Color Model with Improved Adaboost Algorithm by CUI Peng, YAN Tian-tian

“…The experimental results show that the proposed algorithm can effectively improve the detection rate and the detection speed，which can restrain the over adaptation of the training object.…”
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An Improved Lagrange Particle Swarm Optimization Algorithm and Its Application in Multiple Fault Diagnosis by Xiaofeng Lv, Deyun Zhou, Ling Ma, Yuyuan Zhang, Yongchuan Tang

“…The particle swarm optimization (PSO) algorithm is a global search algorithm. In this paper, an improved Lagrange-particle swarm optimization algorithm is proposed. …”
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Mine fire emergency path planning based on hybrid strategy improved WOA algorithm. by Yun Qi, Kaiwang Yu, Xunping Li, Wei Wang, Xinchao Cui, Chenhao Bai

“…These enhancements are compared against single-strategy improved WOAs.Subsequently, path planning simulations were conducted using several extracted algorithms and grid-based methods. …”
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A detection algorithm for small surface floating objects based on improved YOLOv5s by Xusheng YUE, Jun LI, Yaohong WANG, Penghao ZHU, Zhexing WANG, Xuanhao XU

“…ObjectiveTo address the challenges of false detection and missed detection in identifying floating bottles on the water surface in unmanned surface vehicle applications, this study proposes an improved small floating object detection algorithm based on YOLOv5s. …”
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Research on improved indoor positioning algorithm based on WiFi–pedestrian dead reckoning by Guanghua Zhang, Xue Sun, Jingqiu Ren, Weidang Lu

“…In order to improve the positioning accuracy and reduce the impact of indoor complex environment on WiFi positioning results, an improved fusion positioning algorithm based on WiFi–pedestrian dead reckoning is proposed. …”
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Defect Detection of Gas Insulation Switch by Infrared Thermography Technology With an Improved Yolo Algorithm by Ma Tianci, Chen Xiangping, Li Bo, Bai Jie

“…The proposed method achieves a mean Average Precision (mAP) of 10.6% and 13% higher than baseline YOLOv7 and YOLOv5, respectively. Moreover, improved computational speed and detection accuracy has been seen via comparison with the fellow algorithms. …”
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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

“…Recent advances in the field often involve hybrid methods that combine several algorithms to improve performance. This study introduces an improved Gravitational Search Algorithm, named CMACGSA, which incorporates the Cerebellar Model Articulation Controller (CMAC)-a neural network model-to enhance the performance of Gravitational Search Algorithm (GSA). …”
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Structural Damage Identification Based on the Wavelet Transform and Improved Particle Swarm Optimization Algorithm by Jia Guo, Deqing Guan, Jianwei Zhao

“…A method based on the wavelet transform and improved particle swarm optimization (WIPSO) algorithm is proposed to identify the microdamage of structures. …”
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Traffic Prediction of Space-Integrated-Ground Information Network Based on Improved LSTM Algorithm by Chengsheng PAN, Yufu WANG, Li YANG

“…The space-integrated-ground information network is easy to interrupt and the traffi c fl uctuation is not stable due to the problems of high traffi c burst and topological time-varying, which makes the traffi c prediction diffi cult much higher than the ground.In order to solve this problem, an improved LSTM algorithm was put forward.Firstly, the traffi c autocorrelation was judged by analyzd the infl uence of the lag variable of traffi c sequence on the predicted value; Secondly, the noise and breakpoint of the training set were eliminated by replacing the interruption with the predicted value; Finally, Dropout algorithm was used to reduce the impact of noise and neural network over fi tting, and accurately predict the traffi c data of the integrated intelligent network.The simulation results showed that in OPNET simulation environment, compared with other algorithms, the accuracy of this algorithm was improved by 59.21%, and the training speed of the algorithm was improved by 11.11%, which could provide eff ective data support for the overall scheduling of the integrated intelligent network.…”
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Optimisation of decision making for construction projects of assembly buildings based on improved PSO algorithm by Peng Wang

“…The improved particle swarm algorithm converges to an optimal solution of –19.208 within 20 iterations on the Holder function, with an optimal domain of [8.055, –9.665]. …”
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Improved DBO algorithm tunes fuzzy-PD controller for robot manipulator trajectory tracking by Ma Haohao, Azizan As’arry, Li Chaoqun, Mohd Idris Shah Ismail, Hafiz Rashidi Ramli, Aidin Delgoshaei, M.Y.M. Zuhri

“…Based on the dynamic modeling of the robot manipulator, the PD control law is designed, and the improved dung beetle optimization (DBO) algorithm is introduced using the good point set (GPS) method for population initialization and the sine strategy for convergence factor adjustment. …”
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An Improved Crayfish Algorithm-Based Neural Network Method for Modeling Microstrip Patch Antennas by Shao-Long Cao, Yu Shao, Yang Wang, Ju Tan, Jie Zhang

“…The improved algorithm was evaluated on standard test functions, demonstrating superior convergence speed and accuracy compared to other algorithms. …”
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An Efficient Optimization Algorithm for Measurement Matrix Based on SVD and Improved Nesterov Accelerated Gradient by B. ZHANG, R. YI, Z. WANG, J. PU, . Y. SUN

“…A new target Gram matrix is designed by applying singular value decomposition to the sensing matrix and utilizing entry shrinking in the Gram matrix, leading to lower mutual coherence indicators. An improved Nesterov accelerated gradient algorithm is derived to update the measurement matrix, which can improve the convergence behavior. …”
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