Metaheuristics in Logistics: Increasing the Efficiency of Algorithms by Defining Appropriate Parameter Settings by Tamara J. Bíró, Péter Németh

“…In many cases, when applying a metaheuristic, it works properly with the variables of a given task and there is no specific interval where a given algorithm can still be effective. To increase efficiency and reduce costs, the authors defined a general parameter definition by applying the Ant Colony Optimization algorithm applicable to the simple Traveling Salesman Problem with the number of cities n=50, where for values of 30 = n = 50, the defined parameter setting structure can be properly applied based on the results. …”
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A BIT* algorithm with dilated vertices-based path stretching strategy by Xuanle Wu, Pu Li, Zhicheng Hou

“…In addition, DS-BIT* performs bidirectional improvement of the final path at the end of the algorithm, further reducing the final path cost. …”
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Assessing and Reducing Energy Consumption of Grain Cleaning and Drying Equipment by Yu. N. Sap’yan, V. A. Kolos, M. I. Suleymanov, E. N. Kabakova

“…(Conclusions) The paper provides the offered criteria and a developed algorithm for energy-saving optimization of grain drying equipment, which reduces the direct energy consumption of production lines and energy costs. …”
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Research on the A* Algorithm for Automatic Guided Vehicles in Large-Scale Maps by Yuandong Chen, Jinhao Pang, Yuchen Gou, Zhiming Lin, Shaofeng Zheng, Dewang Chen

“…In terms of the improvement of the heuristic function, this study adopted the diagonal distance as the benchmark for cost estimation, and it innovatively introduces the angle coefficient to reflect the complexity of path turning, thus providing the algorithm with a more accurate guidance for the search direction. …”
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A Contribution of Shortest Paths Algorithms to the NetworkX Python Library by Miguel Cruz, Rui Carvalho, André Costa, Luis Pinto, Luis Dias, Paulino Cerqueira, Rodrigo Machado, Tiago Batista, Pedro Castro, Jorge Ribeiro

“…We have also done the benchmarking of the A*, comparing it with the new ones, and concluded the better efficiency of the A* extensions in tri-objective scenario parameters (length, cost and toll). Despite the extensive utilisation of A* and its notable efficacy in identifying optimal paths, its performance is suboptimal in specific scenarios, such as when confronted with memory constraints and dynamic environments. …”
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The Application of Kalman Filter Algorithm in Rail Transit Signal Safety Detection by Zhinong Miao, Qilong Liao

“…Firstly, the improved Kalman filter algorithm is used to denoise the signal to ensure the accuracy of signal transmission. …”
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Heap Optimization in A* Pathfinding for Horror Games by Risaldi Angga Buana Putra, Ary Setijadi Prihatmanto, Rahadian Yusuf, Agus Sukoco

“…This paper examines the implementation of the A* pathfinding algorithm with binary heap optimization in a horror game environment. …”
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Research on Optimization of Magnetic Ranging by Mechanism & Intelligence by QIAN Hongyu, CHE Yang, WANG Xiufang, FENG Fuping, JIANG Chunlei

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Optimization of Hybrid Laminates with Extension-Shear Coupling by Da Cui, Daokui Li

“…The extension-shear-coupled effect of hybrid laminates is optimized with improved differential evolution algorithm. …”
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Optimal Management in the Operation of Complex Technical Systems by Dyadyura K., Oborskyi G., Prokopovych I., Khamitov V., Holubiev M.

“…Additionally, proof of the existence of an optimal verification strategy was given. An algorithm for determining the moments of verification was developed to ensure the minimum cost. …”
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Revocation encryption scheme based on domestic cryptographic algorithm SM9 by XIE Zhenjie, ZHANG Wanli, ZHANG Yao, ZHAO Fangfang, LIU Shengli

“…To address the limitations of lengthy system public keys and inefficient decryption in existing identity-based revocation encryption schemes, an optimized revocation encryption scheme was proposed based on SM9, China’s independently developed identity-based cryptographic algorithm. …”
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Power inspection UAV task assignment matrix reversal genetic algorithm by Kai Liu, Meizhao Liu, Ming Tang, Chen Zhang

“…Specifically, TMGA reduces the average task time by 37% compared to the Cluster Grouping Consensus-base Bundle Algorithm and improves task unit utility by 56.91% compared to the Genetic Algorithm.…”
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B∗ Algorithm: Multiobjective Path Planning for Flexible Buses Traffic System by Zhida Ke, Rong-Guei Tsai, Chengtao Xu, Yicong Yu, Zhiming Huang, Xiaolan Chen, Lin Lin, Delin Luo, Shanna He

“…Advances in vehicle intelligence have ushered in the rapid development of intelligent connected vehicles and the emergence of the Internet of Vehicles (IoV), greatly improving the passenger travel experience. However, as a new mode of transport, flexible public transportation presents challenges for operators in terms of reducing costs and improving passenger experiences through complex route planning. …”
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Application of Genetic Algorithms to Solve MTSP Problems with Priority (Case Study at the Jakarta Street Lighting Service) by Sugih Sudharma Tjandra, Fran Setiawan, Hanoum Salsabila

“… Transportation is one thing that is very important and is the highest cost in the supply chain. One way to reduce these costs is to optimize vehicle routes. …”
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A coherent approach to quantum-classical optimization by Andrés N. Cáliz, Jordi Riu, Josep Bosch, Pau Torrente, Jose Miralles, Arnau Riera

“…In the particular case of large optimization problems, commonly found in real-world use cases, this strategy is almost mandatory to reduce the otherwise unfathomable execution costs and improve the quality of the results. …”
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Object detection algorithm in a navigation system for a rescue drone by Nataliia Stelmakh, Yurii Yukhymenko, Ilya Rudkovskiy, Anton Lavrinenkov

“… This article focuses on improving object recognition algorithms for rescue drones, in particular, enhancing the methodology for classifying human poses by expanding the set of key body points and using more effective mathematical models. …”
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Advancing Rice Disease Detection in Farmland with an Enhanced YOLOv11 Algorithm by Hongxin Teng, Yudi Wang, Wentao Li, Tao Chen, Qinghua Liu

“…The algorithm offers significant advantages in lightweight design and real-time performance, outperforming other classical object detection algorithms and providing an optimal solution for real-time field diagnosis.…”
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Grouped Byzantine fault tolerant consensus algorithm based on aggregated signatures by Yong Wang, Qiancheng Wan, Yifan Wu, Lijie Chen

“…Abstract The Practical Byzantine Fault Tolerance consensus algorithm faces several challenges in large-scale networks, such as the simplistic primary node selection, high communication overhead, poor scalability, and low costs for malicious behavior. …”
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Bandit Algorithms for Efficient Toxicity Detection in Competitive Online Video Games by Jacob Morrier, Rafal Kocielnik, R. Michael Alvarez

“…This algorithm balances exploration and exploitation to optimize long-term performance and is designed intentionally for easy deployment in production environments. …”
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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

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