Optimization of Planning Layout of Urban Building Based on Improved Logit and PSO Algorithms by Yun Li, Yanping Chen, Miaoxi Zhao, Xinxin Zhai

“…Then, the evaluation model of urban building planning based on improved logit and PSO algorithm is established. …”
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Improved whale optimization algorithm and its application in heterogeneous wireless sensor networks by Yinggao Yue, Hairong You, Shuxin Wang, Li Cao

“…The improved whale optimization algorithm solves the heterogeneous wireless sensor network coverage optimization model and obtains the optimal coverage scheme. …”
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Ballistic Fitting Impact Point Prediction Based on Improved Crayfish Optimization Algorithm by Baolu Yang, Liangming Wang, Jian Fu

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An Improved Whale Optimization Algorithm for the Clean Production Transformation of Automotive Body Painting by Qin Yang, Xinning Li, Teng Yang, Hu Wu, Liwen Zhang

“…The whale optimization algorithm is enhanced through three key modifications: the incorporation of nonlinear convergence factors, elite opposition-based learning, and dynamic parameter self-adaptation, which are then applied to optimize the automotive painting model. …”
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A Novel Improved Binary Optimization Algorithm and Its Application in FS Problems by Boyuan Wu, Jia Luo

“…Secondly, a multi-population evolutionary strategy is introduced, which takes into account the diversity of individuals based on fitness values to optimize the balance between exploration and exploitation stages of the algorithm, ultimately improving the algorithm’s capability to explore the FS solution space globally. …”
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An Improved Chaos Genetic Algorithm for T-Shaped MIMO Radar Antenna Array Optimization by Xin Fu, Xianzhong Chen, Qingwen Hou, Zhengpeng Wang, Yixin Yin

“…Improved chaotic genetic algorithm optimization model is established. …”
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Research on hybrid intrusion detection based on improved Harris Hawk optimization algorithm by Pengzhen Zhou, Huifu Zhang, Wei Liang

“…The improved Harris Hawk optimization algorithm is used as a feature selection scheme to reduce the impact of redundant and noisy features on the performance of the classification model. …”
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An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability by Ershen Wang, Xiaozhu Shi, Xidan Deng, Jing Gao, Wei Zhang, Huan Wang, Song Xu

“…Aiming at this problem, we proposed an adaptive simulated annealing particle swarm optimization (ASAPSO) algorithm to redistribute integrity and continuity risks and establish a protection level optimization model. …”
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A Bi-Level Capacity Optimization Method for Hybrid Energy Storage Systems Combining the IBWO and MVMD Algorithms by Qiaoqiao Xing, Shidong Li, Da Qiu, Yang Long, Qinyi Liao, Xiangjin Yin, Yunxiang Li, Kai Qian

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AOAFS: A Malware Detection System Using an Improved Arithmetic Optimization Algorithm by Rafat Alshorman, Bilal H. Abed-alguni, Yaqeen E. Alqudah

“…Finally, Dynamic Opposition-based Learning is utilized to improve the mutation capability of the AOAFS. Several malware datasets were used to compare the AOAFS to four popular Machine Learning algorithms and eight famous wrapper-based optimization algorithms. …”
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Improving Parameter Estimation of Fuel Cell Using Honey Badger Optimization Algorithm by Rolla Almodfer, Mohammed Mudhsh, Samah Alshathri, Laith Abualigah, Laith Abualigah, Mohamed Abd Elaziz, Mohamed Abd Elaziz, Mohamed Abd Elaziz, Khurram Shahzad, Mohamed Issa

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Advanced Computational Methods for Mitigating Shock and Vibration Hazards in Deep Mines Gas Outburst Prediction Using SVM Optimized by Grey Relational Analysis and APSO Algorithm by Xiang Wu, Zhen Yang, Dongdong Wu

“…Moreover, adaptive particle swarm optimization (APSO) was used to optimize the penalty factor and kernel parameters of the support vector machine to improve the global search ability and avoid the occurrence of the local optimal solutions. …”
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Application of Improved Whale Algorithm to Optimize Dephosphorization Process Parameters in Converter Steelmaking by Congrui Wu, Yueping Kong

“…This study addresses process parameter optimization challenges in converter steelmaking by proposing an improved multi-objective whale optimization algorithm (IMOWOA) that synergistically integrates metallurgical thermodynamics with data-driven modeling. …”
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Robotic arm path planning based on the improved dung beetle optimization algorithm by XUAN Yitong, LI Lijun, CHEN Haifei

“…ObjectiveA path planning algorithm based on an improved dung beetle optimization algorithm was proposed to address the challenges in complex scenarios where traditional algorithms for robotic arm path planning often suffer from low efficiency and susceptibility to local optima.MethodsFirstly, the robotic arm and obstacles were modeled using the bounding box method. …”
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Optimization Design of Diaphragm Profile based on Kriging Model by Geng Hu, Zhigang Chen, Ding Zhang

“…Finally，the initial Kriging model is updated with MP （minimizing the predicted objective function） infill-sampling criterion and genetic algorithm，and the optimal design is obtained via the final Kriging model. …”
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Improvement strategies for heuristic algorithms based on machine learning and information concepts: a review of the seahorse optimization algorithm by Shixing Zheng

“…Experimental results demonstrate that the improved SHO algorithm, integrating the logistic-KNN inertia weight optimization strategy and the entropy-based crossover-mutation mechanism, exhibits significant advantages in terms of convergence speed, solution accuracy, and algorithm stability. …”
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Towards Automated Cadastral Map Improvement: A Clustering Approach for Error Pattern Recognition by Konstantinos Vantas, Vasiliki Mirkopoulou

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Improve Particle Swarm Optimization and Differential Evolution Algorithms Using Nash Bargaining Theory by Marziye Dadvar, Hamidreza Navidi, Hamid Haj Seyyed Javadi, Mitra Mirzarezaee

“…The proposed approach uses a coalition or cooperation model in the game theory to improve the DE and PSO algorithms. …”
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Robust Path Tracking Control with Lateral Dynamics Optimization: A Focus on Sideslip Reduction and Yaw Rate Stability Using Linear Quadratic Regulator and Genetic Algorithms by Karrar Y. A. Al-bayati, Ali Mahmood, Róbert Szabolcsi

“…To address this issue, this study proposes the optimization of the linear quadratic regulator (LQR) control system by using the genetic algorithm (GA) to support the vehicle in following the predefined path accurately, minimizing the sideslip, and stabilizing the vehicle’s yaw rate. …”
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Multi-objective optimization of current-assisted splitting spinning of small module tooth-shaped part based on the combination of BP neural network and NSGA-II algorithm by Zhou Haoyang, Xia Qinxiang, Xiao Gangfeng, Chen Can

“…The results show that the material at the tooth tip along the radial direction is in the state of tensile stress along radial and compressive stresses along tangential and axial directions, which promotes the radial flowing of the material and is beneficial the tooth filling of SMTSPs; the tooth saturation increases obviously under pulse current comparing without pulse current; the BPNN combined with the NSGA-II algorithm can reliably optimize the process parameters of the CASS, improving the forming quality of SMTSPs; experiments verified the feasibility of the process and the accuracy of the predictive model based on the optimization results.…”
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