Energetic Transients Joint Analysis System for Multi-INstrument (ETJASMIN) for GECAM. II. Search, Verification, and Classification of Bursts by Ce Cai, Yan-Qiu Zhang, Shao-Lin Xiong, Jin-Peng Zhang, Ping Wang, Shi-Jie Zheng, Shuo Xiao, Qi-Bin Yi, Yi Zhao, Hao-Xuan Guo, Sheng-Lun Xie, Wang-Chen Xue, Chao Zheng, Jia-Cong Liu, Chen-Wei Wang, Wen-Jun Tan, Yue Wang, Pei-Yi Feng, Zheng-Hang Yu, Peng Zhang, Yan-Ting Zhang, Wen-Long Zhang, Xiao-Yun Zhao, Zhen Zhang, Xiang Ma, Yue Huang, Xiao-Bo Li, Cheng-Kui Li, Ming-Yu Ge, Shu-Xu Yi, Hai-Sheng Zhao, Jin Wang, Bing Li, Li-Ming Song, Lian Tao, Shu Zhang, Shuang-Nan Zhang

“…For this pipeline, we implement a coherent algorithm to search for simultaneous signals in the light curves of multiple instruments, conduct a series of Monte Carlo simulations, and validate the pipeline performance with in-flight observation data. …”
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Improvement of Differential Privacy K-means Clustering Algorithm by GUO Rumin, CHEN Xuebin, SHAN Liyang

“…Comparative experiments on three different feature datasets are conducted to evaluate the improved algorithm. …”
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Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique by Subrat Kumar Nayak, Pravat Kumar Rout, Alok Kumar Jagadev, Tripti Swarnkar

“…This paper presents an Elitism-based Multi-objective Differential Evolution algorithm for FS and the novelty lies in the searching process which uses Minkowski Score (MS) and simultaneously optimises three objectives. …”
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Three New Stochastic Local Search Metaheuristics for the Annual Crop Planning Problem Based on a New Irrigation Scheme by Sivashan Chetty, Aderemi Oluyinka Adewumi

“…These three new LS metaheuristic techniques are the Best Performance Algorithm (BPA), Iterative Best Performance Algorithm (IBPA), and the Largest Absolute Difference Algorithm (LADA). …”
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GOHBA: Improved Honey Badger Algorithm for Global Optimization by Yourui Huang, Sen Lu, Quanzeng Liu, Tao Han, Tingting Li

“…Aiming at the problem that the honey badger algorithm easily falls into local convergence, insufficient global search ability, and low convergence speed, this paper proposes a global optimization honey badger algorithm (Global Optimization HBA) (GOHBA), which improves the search ability of the population, with better ability to jump out of the local optimum, faster convergence speed, and better stability. …”
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Application of improved ant-lion algorithm for power systems. by Wenjing Wang, Renjun Zhou

“…The global search capability and optimization performance of the algorithm have been significantly improved by introducing elite weights and chaotic search mechanisms. …”
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A Multipopulation Coevolutionary Strategy for Multiobjective Immune Algorithm by Jiao Shi, Maoguo Gong, Wenping Ma, Licheng Jiao

“…Compared with several state-of-the-art multiobjective evolutionary algorithms on well-known and frequently used multiobjective and many-objective problems, the proposed algorithm achieves comparable results in terms of convergence, diversity metrics, and running time on most test problems.…”
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Routing and Scheduling in Time-Sensitive Networking by Evolutionary Algorithms by Zengkai Wang, Weizhi Liao, Xiaoyun Xia, Zijia Wang, Yaolong Duan

“…We propose a gene coding method and rigorously prove its correctness, which significantly reduces the search space of the differential evolution algorithm. …”
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A Vehicle Path Planning Algorithm: QDDG-RRT by Ruixin Zhang, Qing Xu, Kai Sun, Yi Liu, Ximming Zhu, Guo Zhang, Xiang Cheng

“…The Rapidly-exploring Random Tree (RRT) algorithm, while widely used, suffers from slow search speeds, numerous inflection points, and redundant operations. …”
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Optimizing performance of WPCN based on whale optimization algorithm by Lina Yuan, Huajun Chen, Tinghong Chang, Ging Gong

“…Through simulation experiments, the efficacy of the proposed approach has been confirmed through validation, and it has been compared with current algorithms. The findings from the experiments demonstrate that the WOA offers substantial benefits in terms of enhancing network performance and energy conservation, especially when dealing with complex, dynamically changing WPC network optimization problems, demonstrating its unique strengths. …”
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Downhole Pressure Pulse Signal Recognition Based on SSA-CNN-LSTM by JIANG Panqin, LIU Xingbin, JIANG Zhicheng, LI Shanwen, HE Zhuang

“…Aiming at the problems of signal distortion and increased bit error rate caused by the interference of downhole sensor noise, fluid turbulent fluctuations, and wall friction effects on the wireless pressure pulse signals in the intelligent stratified water injection system, this paper designs a hybrid prediction model that integrates the sparrow search algorithm (SSA) and the convolutional long short-term memory network (CNN-LSTM). …”
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A hybrid model based on learning automata and cuckoo search for optimizing test item selection in computerized adaptive testing by Chanjuan Jin, Weiming Pan

“…A multi-objective cuckoo search algorithm then decides the test strategy, between content coverage and level compliance. …”
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The hybrid algorithms in constrained optimization of the permanent magnet motors by Łukasz Knypiński, Ramesh Devarapalli, Frederic Gillon

“…The optimal results for the hybrid Cuckoo Search and hybrid Grey Wolf Optimization have been compared. …”
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Application of Golden Sine Algorithm in Hydrogeological Parameter Optimization by ZHOU Yourong, LI Na, ZHOU Fahui

“…The results show thatthe Gold-SA algorithm has better optimization accuracy for the six selected standard testfunctions than the PSO algorithm, with better optimization accuracy and global search ability. …”
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Dynamic Capacitated Arc Routing Problem in E-Bike Sharing System: A Monte Carlo Tree Search Approach by Shiqi Tan, Zhiheng Li, Na Xie

“…We adopt a lookahead policy that simulates future information and decisions over some horizons to evaluate the long-term influence of current feasible decisions. A Monte Carlo Tree Search algorithm is also used to improve the simulation efficiency. …”
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Improved flow direction algorithm for WSN coverage optimization by CHEN Wei, YANG Panlong

“…Finally, the improved flow direction algorithm is implemented for the coverage optimization of wireless sensor networks, and its performance is compared with that of the standard flow direction algorithm and other improved algorithms. …”
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An Efficient Recommendation Algorithm Based on Heterogeneous Information Network by Ying Yin, Wanning Zheng

“…The results of the experiments show that compared with PMF, SemRec, and other algorithms, the proposed algorithm improves the recommendation accuracy MAE by approximately 3% and the RMSE by approximately 8% and reduces the time consumption significantly.…”
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A novel reindeer cyclone optimization algorithm (RCOA) by Gopal Chaudhary, Bharat S. Rawal

“…On multimodal functions, RCOA shows more competitive performance, especially in terms of stability, with an improvement of around 10–15% in accuracy and consistency compared to WDO and PSO. The algorithm is evaluated using the CEC’17 benchmark suite with 50 dimensions and compared against different well-established optimization algorithms, including WOA, PSO, GSA, and DE. …”
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Automated Generation of Hybrid Metaheuristics Using Learning-to-Rank by Xinru Xue, Ting Shu, Jinsong Xia

“…The LTR-MHA aims to achieve adaptive optimization of algorithm combination strategies by dynamically fusing the search behaviors of Whale Optimization (WOA), Harris Hawks Optimization (HHO), and the Genetic Algorithm (GA). …”
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Prediction Method of Lithology Log Based on XGBoost Algorithm by CHU Qingjun, GE Yunlong, TONG Maosong, WANG Yan, AN Lyuxing, YU Chuanwu, JIA Xin

“…To solve this problem, an XGBoost algorithm-based model for predicting the photoelectric absorption cross-section index is established, and its prediction effect is compared with that of a neural network algorithm model. …”
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