Hierarchical guided manta ray foraging optimization for global continuous optimization problems and parameter estimation of solar photovoltaic models by Zhentao Tang, Kaiyu Wang, Lan Zhuang, Mingxin Zhu, Yongxuan Yao, Huiqin Chen, Jing Li, Xiaoxiang Wu, Shangce Gao

“…Abstract The manta ray foraging optimization (MRFO) algorithm has gained widespread application in engineering problems due to its notable performance and low computational cost. …”
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Cost-effectiveness analysis of best management practices for non-point source pollution in watersheds: A review by CHANG Jian, YU Jie, WANG Fei’er, ZHENG Siyuan

“…Application of cost-effectiveness analysis method included three categories, coupling NPS model with empirical calculation methods, coupling NPS model with economic model and cost-effectiveness analysis based on optimization algorithm. …”
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Precise wind allocation scheme decision based on attraction-repulsion algorithm by NI Jingfeng, CHEN Dunwei, LIU Yujiao

“…Performance test results showed that AROA had a significant advantage in comprehensive optimization performance compared to Genetic Algorithm (GA), Simulated Annealing-Improved Particle Swarm Optimization (SA-IPSO), and Monotonic Basin Hopping (MBH). …”
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EPRSA: interference resource scheduling algorithms for air-ground communication networks by Wenpeng Wu, Zhenhua Wei, Haiyang You, Xiaoqing Li, Jianwei Zhan, Zhaoguang Zhang

“…Based on this, this paper proposes the interference link margin in the mathematical model and normalizes and quantifies the optimization objectives. Strategies such as cycle and initial quantity selection, elastic initialization, double tabu power scheduling, and jammer conversion are designed to improve the scheduling ability of the Elastic Parallel Random Search Algorithm (EPRSA) in terms of system operation duration and interference cost. …”
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Qualitative Simulation Algorithm for Resource Scheduling in Enterprise Management Cloud Mode by Jiaohui Yu

“…Aiming at the problem of resource scheduling optimization in enterprise management cloud mode, a customizable fuzzy clustering cloud resource scheduling algorithm based on trust sensitivity is proposed. …”
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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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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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Adjacency List Algorithm for Traffic Light Control Systems in Urban Networks by Sergio Rojas-Blanco, Alberto Cerezo-Narváez, Manuel Otero-Mateo, Sol Sáez-Martínez

“…An adjacency list is more efficient than matrices in terms of space and computational cost, allowing for the identification of critical signals before applying advanced optimization techniques such as neural networks or hypergraphs. …”
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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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Fast Adaptive CU Partition Decision Algorithm for VVC Intra Coding by Lina Si, Wendi Zhu, Qiuwen Zhang

“…Compared with the High Efficiency Video Coding (HEVC/H.265), owing to the introduction of the Quad-tree with Nested Multi-type Tree (QTMT) division mode, the encoder can choose a more detailed division type when dividing the Coding unit (CU), thereby improving the coding performance. However, when the CU selects the division type, it needs to traverse all possible division types and compute the Rate-distortion (RD) cost, which greatly enhances the coding complexity. …”
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Supply Chains Problem During Crises: A Data-Driven Approach by Farima Salamian, Amirmohammad Paksaz, Behrooz Khalil Loo, Mobina Mousapour Mamoudan, Mohammad Aghsami, Amir Aghsami

“…Results demonstrate significant improvements in cost reduction, resource allocation, and service levels, highlighting the model’s practical applicability in real-world scenarios. …”
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A Defect Detection Algorithm for Optoelectronic Detectors Utilizing GLV-YOLO by Xinfang Zhao, Qinghua Lyu, Hui Zeng, Zhuoyi Ling, Zhongsheng Zhai, Hui Lyu, Saffa Riffat, Benyuan Chen, Wanting Wang

“…The experimental results showed that the proposed algorithm achieved 98.9% accuracy, with 2.1 million parameters and a computational cost of 7.0 GFLOPs. …”
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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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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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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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Research on rock strength prediction model based on machine learning algorithm by Xiang Ding, Mengyun Dong, Wanqing Shen

“…By selecting different features, the optimal feature combination for predicting rock compressive strength was obtained, and the optimal parameters for different models were obtained through the Sparrow Search Algorithm (SSA). …”
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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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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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