A Monte Carlo Tree Search-Based Load Balancing Algorithm for 6G Indoor Heterogeneous Networks by Guanghui Ma, Syifaul Fuada, Marcos Katz

“…This paper introduces a Monte Carlo tree search (MCTS)-based load balancing algorithm for 6G indoor heterogeneous networks, exemplified by hybrid visible light communication (VLC) and radio frequency (RF) systems. …”
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Gravitational Search Algorithm and Selection Approach for Optimal Distribution Network Configuration Based on Daily Photovoltaic and Loading Variation by Koong Gia Ing, H. Mokhlis, H. A. Illias, M. M. Aman, J. J. Jamian

“…GSA based proposed method is also compared with Evolutionary Programming (EP) to examine the effectiveness of GSA algorithm. …”
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New energy efficient management approach for wireless sensor networks in target tracking using Vortex Search Algorithm by Shayesteh Tabatabaei

“…In the first stage, the path and position of the target are determined using the Vortex Search Algorithm. In the second stage, the transfer of data related to the target's movement between sensor nodes and the sink, and the adjustment of the sleep/awake period of sensor nodes, are performed. …”
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S-EPSO: A Socio-Emotional Particle Swarm Optimization Algorithm for Multimodal Search in Low-Dimensional Engineering Applications by Raynald Guilbault

“…This potential is established from a balanced combination of the jaggedness and the mean-average interval descriptors developed in the study. The study compares the performance of S-EPSO to that of state-of-the-art algorithms over seventeen functions of the CEC benchmark, and S-EPSO is revealed to be highly competitive. …”
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A PID Tuning Strategy Based on a Variable Weight Beetle Antennae Search Algorithm for Hydraulic Systems by Yujing Qiao, Yuqi Fan

“…In this paper, different dimension functions were tested, and results calculated by the proposed algorithm were compared with other famous algorithms, and the numerical analysis was carried out, including the iteration, the box-plot, and the searching path, which comprehensively showed the searching balance in the proposed algorithm. …”
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TS-SSA: An improved two-stage sparrow search algorithm for large-scale many-objective optimization problems. by Xiaozhi Du, Kai Chen, Hongyuan Du, Zongbin Qiao

“…This paper proposes an improved sparrow search algorithm (SSA) that manages convergence and diversity separately for solving LSMaOPs, called two-stage sparrow search algorithm (TS-SSA). …”
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Safety-Prioritized Optimization of Asteroid Sample Site Selection Using Genetic Algorithm and Variable Neighborhood Tabu Search by Huan Xie, Jie Chen, Xiongfeng Yan, Yifan Wang, Yaqiong Wang, Qingfan Zhang, Yuanting Xi, Jun Xie, Ming Yang, Yongjiu Feng, Yusheng Xu, Xiaohua Tong

“…This study proposed a new sample site selection method that incorporates a multifactor weight analysis, genetic algorithm (GA), and variable neighborhood tabu search (VNTS) technique. …”
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Optimized conductor selection and phase balancing in unbalanced distribution networks: Economic optimization via the vortex search algorithm by Brandon Cortés-Caicedo, Jhony Andrés Guzmán-Henao, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña, Rubén Iván Bolaños

“…This methodology is compared against the hurricane optimization algorithm, the sine cosine algorithm, and the salp swarm optimization algorithm. …”
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GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm. by Leonardo Bottolo, Marc Chadeau-Hyam, David I Hastie, Tanja Zeller, Benoit Liquet, Paul Newcombe, Loic Yengo, Philipp S Wild, Arne Schillert, Andreas Ziegler, Sune F Nielsen, Adam S Butterworth, Weang Kee Ho, Raphaële Castagné, Thomas Munzel, David Tregouet, Mario Falchi, François Cambien, Børge G Nordestgaard, Fredéric Fumeron, Anne Tybjærg-Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson

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Application of a hybrid algorithm of LSTM and Transformer based on random search optimization for improving rainfall-runoff simulation by Wenzhong Li, Chengshuai Liu, Caihong Hu, Chaojie Niu, Runxi Li, Ming Li, Yingying Xu, Lu Tian

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Spiking Neural Networks Optimized by Improved Cuckoo Search Algorithm: A Model for Financial Time Series Forecasting by Panke Qin, Yongjie Ding, Ya Li, Bo Ye, Zhenlun Gao, Yaxing Liu, Zhongqi Cai, Haoran Qi

“…To address the performance limitations of Spiking Neural Networks (SNNs) caused by hyperparameter sensitivity, this study proposes an SNN model optimized by an Improved Cuckoo Search (ICS) algorithm (termed ICS-SNN). The ICS algorithm enhances global search capability through piecewise-mapping-based population initialization and introduces a dynamic discovery probability mechanism that adaptively increases with iteration rounds, thereby balancing exploration and exploitation. …”
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Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid performance by Ganesh Selvaraj, Kanimozhi Rajangam, Pradeep Vishnuram, Mohit Bajaj, Ievgen Zaitsev

“…The islanded mode operation using the crow search algorithm demonstrates a remarkable reduction in TOC and maximizes voltage regulation compared to other modes. …”
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Optimization of CO2 water-alternating-gas injection parameters based on an improved hunger game search algorithm by WU Gongyi, SUN Yuxin, SUN Xiaofei, JI Hongming, ZHANG Yanyu

“…This method enhanced the accuracy and efficiency of CO2 WAG injection parameter optimization for typical oilfields. Compared to the Logistic, Gaussian, and Singer chaotic mapping functions, the Tent chaotic mapping function resulted in more evenly distributed chaotic values and frequency distributions, making it a better choice for improving the hunger game search algorithm. …”
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Highly efficient variable step-size binary search algorithm for ultra-compact cyclic three-mode converters by Yongchen Wang, Hangming Fan, Zhe Yuan, Junlin Pan, Xiaoyang Liu, Mengfan Cheng, Qi Yang, Deming Liu, Lei Deng

“…However, the mainstream inverse design algorithms face challenges in achieving compact size, efficient performance, and superior process manufacturability simultaneously. …”
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A hybrid genetic tabu search algorithm based on a multi-operation joint movement neighborhood structure for job shop scheduling problems by Lei Wang, Kongfu Hu, Jingcao Cai, Long Cheng, Yuan Xiong, Jiawei Ren, Qiangqiang Xia

“…A hybrid genetic tabu search algorithm (HGTSA) is introduced, which combines the global search ability of the genetic algorithm (GA) and the local search ability of the tabu search (TS), with the goal of minimizing makespan. …”
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Comparative Analysis of Convergence and Performance of Improved Northern Goshawk Optimization Algorithm by ZHENG Xinyu, LI Yuan, LIU Xiaolin

“…The effectiveness of the INGO algorithm is verified through experimental simulation and comparative analysis with six classical intelligent algorithms. …”
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Comparative Analysis of Supervised Classification Algorithms for Residential Water End Uses by Zahra Heydari, Ashlynn S. Stillwell

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New Variable Metric Algorithm by The Mean of 2nd Order Quasi-Newton Condition by Abbas Al-Bayati, Runak Abdullah

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Hyperparameter Optimization for Problem-Based Custom CNN Architectures Using a Smart Grid Search Method by H. Aktas

“…The proposed method was also compared with Bayesian optimization using a similar search space. …”
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Solving Equations Systems Using the Penguins Search Optimization by Mafteiu-Scai Liviu Octavian, Mursa Andrei, Mafteiu-Scai Roxana-Teodora

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