End-Cloud Collaboration Navigation Planning Method for Unmanned Aerial Vehicles Used in Small Areas by Huajie Xiong, Baoguo Yu, Qingwu Yi, Chenglong He

“…Next, the navigation control algorithm of the UAV terminals was designed based on the multi-objective hybrid swarm intelligent optimization algorithm. Finally, the computer simulation and actual indoor-environment flight test based on small rotor UAVs were designed and conducted. …”
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Optimizing Sensor Ontology Alignment through Compact co-Firefly Algorithm by Xingsi Xue, Junfeng Chen

“…Therefore, it is necessary to match the sensor ontologies by establishing the meaningful links between semantically related sensor information. Since the Swarm Intelligent Algorithm (SIA) represents a good methodology for addressing the ontology matching problem, we investigate a popular SIA, that is, the Firefly Algorithm (FA), to optimize the ontology alignment. …”
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ANA: Ant Nesting Algorithm for Optimizing Real-World Problems by Deeam Najmadeen Hama Rashid, Tarik A. Rashid, Seyedali Mirjalili

“…In this paper, a novel swarm intelligent algorithm is proposed called ant nesting algorithm (ANA). …”
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AOEHO: A New Hybrid Data Replication Method in Fog Computing for IoT Application by Ahmed awad Mohamed, Laith Abualigah, Alhanouf Alburaikan, Hamiden Abd El-Wahed Khalifa

“…Previous studies focused on original swarm intelligent and mathematical models; thus, we proposed a novel hybrid method based on two modern metaheuristic algorithms. …”
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Snow Cover Mapping Based on SNPP-VIIRS Day/Night Band: A Case Study in Xinjiang, China by Baoying Chen, Xianfeng Zhang, Miao Ren, Xiao Chen, Junyi Cheng

“…We implemented a swarm intelligent optimization technique Krill Herd algorithm, which finds the optimal threshold value by taking Otsu’s method as the objective function. …”
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An improved bat algorithm with artificial neural networks for classification problems by Rehman Gillani, Syed Muhammad Zubair

“…Nowadays, nature inspired swarm intelligent algorithms have become quite popular due to their propensity for finding optimal solutions with agility. …”
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Spatial-planning-based ecosystem adaptation (spbea): a concept and modeling of prone shoreline retreat areas by Chiu, P. C., Selamat, A., Krejcar, O., Kuok, K. K.

“…The fitness-dependent optimizer (FDO), a newly proposed swarm intelligent algorithm, is focused on the reproductive mechanism of bee swarming and collective decision-making. …”
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Hybrid sine cosine and fitness dependent optimizer for global optimization by Chiu, Po Chan, Selamat, Ali, Krejcar, Ondrej, Kuok, King Kuok

“…The fitness-dependent optimizer (FDO), a newly proposed swarm intelligent algorithm, is focused on the reproductive mechanism of bee swarming and collective decision-making. …”
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Robot Time-Optimal Trajectory Planning Based on Quintic Polynomial Interpolation and Improved Harris Hawks Algorithm by Jing Xu, Chaofan Ren, Xiaonan Chang

“…Because the Harris hawks algorithm adopts a multi-population search strategy, compared with other swarm intelligent optimization algorithms such as the particle swarm optimization algorithm and the fruit fly optimization algorithm, it can avoid problems such as single population diversity, low mutation probability, and easily falling into the local optimum. …”
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Energy-Efficient Cluster Head Selection in Wireless Sensor Networks Using an Improved Grey Wolf Optimization Algorithm by Mandli Rami Reddy, M. L. Ravi Chandra, P. Venkatramana, Ravilla Dilli

“…In recent years, grey wolf optimization (GWO) became the most popular feature selection optimizing, swarm intelligent, and robust metaheuristics algorithm that gives competitive results with impressive characteristics. …”
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High-dimensional aerodynamic data modeling using a machine learning method based on a convolutional neural network by Bo-Wen Zan, Zhong-Hua Han, Chen-Zhou Xu, Ming-Qi Liu, Wen-Zheng Wang

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A Study on Early Warnings of Financial Crisis of Chinese Listed Companies Based on DEA–SVM Model by Zhishuo Zhang, Yao Xiao, Zitian Fu, Kaiyang Zhong, Huayong Niu

“…Then, the model was optimized by the particle swarm intelligent optimization algorithm, and the robustness of the results was tested. …”
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Extended bat algorithm for PID controller tuning of wheeled mobile robot and swarm robotics target searching strategy by Nur Aisyah Syafinaz, Suarin

“…Extended Bat Algorithm (EBA) has been chosen as swarm intelligent based method for this research study. …”
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