Multi-objective Path Planning for AUVs Based on Improved Whale Optimization Algorithms and Fluid Disturbance Algorithms by Yuhong MA, Wen PANG, Daqi ZHU

“…Simulation results demonstrate that the proposed algorithm reduces the average path length by 15.4% and 7.5% compared to traditional genetic algorithm and particle swarm optimization, respectively, while improving computational efficiency by 45.5% and 16.8%.…”
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Calibrating the microparameters of DEM models using the ant colony optimization algorithm and the optimal hyperparameters by Pingyang Fan, Junhua Chen, Yongjun Liao, Jiangshui Zhao, Min Wang

“…However, the micro-parameters should be calibrated when the PFC is used for numerical simulation, and the commonly used trial-and-error techniques have many drawbacks (user dependence and high computational costs). In this work, to obtain the proper set of micro-parameters, a calibration framework is proposed that uses the ant colony optimization algorithm. …”
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A new human-based offensive defensive optimization algorithm for solving optimization problems by Ning Fang, Cheng Xu, Xuxiong Gong, Zhouhua Wu

“…Abstract A novel human-inspired metaheuristic algorithm, termed Offensive Defensive Optimization, has been introduced to address single-objective optimization problems. …”
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Using BERT and ZFNet/ELM optimized by improved Orca optimization algorithm for sentiment analysis by Jun Yang, Jafar Safarzadeh

“…Then, the data were inserted into ZFNet/ELM, which was optimized by Improved Orca Optimization Algorithm (IOPA). …”
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Diesel Engine Urea Injection Optimization Based on the Crested Porcupine Optimizer and Genetic Algorithm by Xu Chen, Changhai Ma, Quanli Dou, Shuzhan Bai, Ke Sun, Zhenguo Li

“…Finally, the Nondominated Sorting Genetic Algorithm II (NSGA-II) was used to optimize the urea injection volume for all conditions. …”
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Optimal tuning of multi-PID controller using improved CMOCSO algorithm by Ying Hu, Xiongyan Liu, Hao Chen

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Efficiently computing Pareto optimal G-skyline query in wireless sensor network by Leigang Dong, Guohua Liu, Xiaowei Cui, Quan Yu

“…To address this gap, we focus on the group skyline query and propose efficient algorithm to computing the Pareto optimal group-based skyline (G-skyline). …”
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Multi-task snake optimization algorithm for global optimization and planar kinematic arm control problem by Qingrui Li, Yongquan Zhou, Qifang Luo

“…Addressing issues such as limited optimization precision and high computational costs in existing MTO algorithms, this article proposes a multi-task snake optimization (MTSO) algorithm. …”
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Coevolutionary Algorithm with Bayes Theorem for Constrained Multiobjective Optimization by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…Previous studies have demonstrated that multi-swarm optimization models exhibit robust performance in CMOPs; however, their high computational resource demands can hinder convergence efficiency. …”
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Novel Back Propagation Optimization by Cuckoo Search Algorithm by Jiao-hong Yi, Wei-hong Xu, Yuan-tao Chen

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Optimum Median Filter Based on Crow Optimization Algorithm by Basma Jumaa Saleh, Ahmed Yousif Falih Saedi, Ali Talib Qasim al-Aqbi, Lamees abdalhasan Salman

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Genetic Algorithm Application in Optimization of Wireless Sensor Networks by Ali Norouzi, A. Halim Zaim

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Optimization Algorithm and Application of Hybrid NSGA-II and DE by LI Yan, ZHANG Guang-wu

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An Advanced Whale Optimization Algorithm for Grayscale Image Enhancement by Yibo Han, Pei Hu, Zihan Su, Lu Liu, John Panneerselvam

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Multimodal Lotus Effect Algorithm for Engineering Optimization Problems by Elham Dalirinia, Mahdi Yaghoobi, Hamid Tabatabaee, Swati Chandna, Mehrdad Jalali

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Search Strategy Optimization of Affine Propagation Clustering Algorithm by DONG Jing-wei, ZHANG Tian-qi, LIU Yang, YANG Guang

“…For multi floor fingerprint location, large scale fingerprint samples increase the complexity of the matching algorithm, which not only hinders the realtime performance of the system, but also increases the energy loss of the mobile terminal.According to the theory of affinity propagation clustering algorithm, we can reduce the amount of computation.Fingerprint sample search in complex environment usually adopts the binary search method, and the optimal parameters for bias results clustering quality of the coarse positioning stages, but this method takes a long time.In the calculation of quality guarantee under the premise, in order to improve the clustering speed, the coarse positioning stage and the matching process, and gives the method to improve the binary search method.The experimental results show that the clustering of the same sample space, the binary search method the optimized algorithm can reduce the number of iterations, improve the work efficiency of the system, and the use of the iteration time is 74.5% shorter than the traditional binary search method.…”
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An Improved Parameter Extraction Optimization Algorithm for RF Devices by Shengsen Yang, Zihan Xu, Kun Ren

“…Experimental results show that, compared to traditional optimization algorithms, the proposed method significantly improves curve fitting accuracy, computational efficiency, and stability, highlighting its application value in RF device parameter extraction.…”
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Illustration Design Model with Clustering Optimization Genetic Algorithm by Jing Liu, Qixing Chen, Xiaoying Tian

“…A large number of computer simulation calculations show that the algorithm can obtain a widely distributed and uniform Pareto optimal solution, the evolution speed is fast, usually only a few iterations can achieve a good optimization effect, and finally the improved genetic algorithm is used to design the random illustration art. …”
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Optimization of the Weight Processing Algorithm in Multichannel Doppler Filtering by V. I. Koshelev, Ngoc Hieu Trinh

“…An MDF synthesis was carried out using optimization procedures, and the effectiveness of the algorithms was assessed using computer calculations.Results. …”
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The PSO-IFAH optimization algorithm for transient electromagnetic inversion. by Zhengyu Xu, Guofeng Zhao, Xian Liao, Nengyi Fu

“…On this basis, the appropriate velocity of particle movement is improved, so that the improved algorithm can overcome the oscillation problem around the optimal solution and improve the computational efficiency. …”
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