Automated Traffic State Optimization in the Weaving Area of Urban Expressways by a Reinforcement Learning-Based Cooperative Method of Channelization and Ramp Metering by Diantao Deng, Bo Yu, Duo Xu, Yuren Chen, You Kong

“…The traffic congestion problem on urban expressways, especially in the weaving areas, has become severe. …”
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AI based data-driven point cloud optimization strategy in cloud computing framework for improving rendering performance of virtual city scenes by Cao Zhongda

“…Time and frame rate experiments revealed that for Scenario 6 with complex data, the cross-entropy loss-based bundle adjustment point cloud optimization model achieved an average frame rate of 495 frames per second. …”
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Enhanced Unmanned Surface Vehicle Path Planning Based on the Pair Barracuda Swarm Optimization Algorithm: Implementation and Performance in Thousand Island Lake by Binghua Shi, Zeyu Liu, Zhou He, Chen Wang, Jia Guo

“…The path planning problem for unmanned surface vehicles (USVs) is related to multiobjective optimization, including shortest path, minimum energy consumption, and obstacle avoidance, making it particularly complex in multi-island and multiobstacle environments such as Thousand Island Lake. …”
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Research on Impact of Planned Path Length and Yaw Cost on Collaborative Search of Unmanned Aerial Vehicle Swarms by Heng Zhang, Wenyue Meng, Yanan Liu, Guanyu Liu, Jian Zhang

“…To address the unclear impacts of a planned path length and yaw cost on search performance in large-scale Unmanned Aerial Vehicle (UAV) swarm collaborative search scenarios under complex and dynamic environments, a path grid determination algorithm is proposed, transforming the path-planning problem into an optimal waypoint selection problem, enabling UAVs to make rapid decisions using the Particle Swarm Optimization (PSO) algorithm. …”
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Self compacting concrete with recycled aggregate compressive strength prediction based on gradient boosting regression tree with Bayesian optimization hybrid model by Emad A. Abood, Zainab Abdulrdha Thoeny, Noralhuda M. Azize, Hamza Imran, Viroon Kamchoom, Kennedy C. Onyelowe, Krishna Prakash Arunachalam

“…The estimation of 28-day compressive strength for this type is usually made by costly and time-consuming laboratory tests. The problem becomes even more complex when recycled aggregates are added to the mixture to promote eco-friendly and sustainable construction practices. …”
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Efficient Task Scheduling Using Constraints Programming for Enhanced Planning and Reliability by JaeBong Cho, Soonil Jung, Kyungmo Yang, Dohun Kim, WonJong Kim

“…By proposing a proper modeling of the problem and preparing data for the constraint programming algorithm, we demonstrate superior performance in scheduling efficiency and resource utilization. …”
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Coordinated Design of Power System Stabilizer and Virtual Inertia Control Using Modified Harris Hawk Optimization for Improving Power System Stability by Mohamad Almas Prakasa, Imam Robandi, Alberto Borghetti, Muhammad Ruswandi Djalal, Waseda Himawari

“…With the optimal damping ratios of 9.94% to 9.96% achieved by HHO-MSS, the overall power system stability improvements, including both local and interarea responses across 38 simulations involving sudden load changes, varying inertia, and different RES levels, are as follows: 41.17% to 70.89% frequency nadir improvement, 25.9% to 67.38% power angle deviation improvement, 84.83% to 85.26% settling time reduction, and 51.57% to 89.73% average error reduction calculated with performance indices. …”
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Investigation into the Hyperparameters of Error-Based Adaptive Sampling Approach for Surrogate Modeling by Leonid Legashev, Sergey Tolmachev, Irina Bolodurina, Alexander Shukhman, Lyubov Grishina

“…Surrogate modeling technology is used to create lightweight analogs of resource- and calculation-intensive software, provided that the problem can be reduced to the regression problem. …”
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A Reconfigurable Access Scheme for Massive-MIMO MTC Networks by Atoosa Dalili Shoaei, Duc Tuong Nguyen, Tho Le-Ngoc

“…The corresponding optimization problem is formulated, and a sub-optimal solution algorithm with low computational complexity is proposed. …”
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Routing algorithm for heterogeneous computing force requests based on computing first network by ZHANG Gang, LI Xi

“…The experiment verifies that algorithm has been optimized by an average of 8.85%, 15.51%, and 17.03% in terms of transmission success rate, convergence delay ratio, and load balancing compared to the IGAGCT algorithm and RBDQN algorithm, and 10.41%, 16.5%, and 16.81%, respectively from three aspects: heterogeneous request success rate, algorithms convergence delay rate, and load error rate of computing first networks.…”
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Development of the Composition and Technology of New Neuroprotective Drug Tablets Using Fractional Factorial Design by O. A. Terenteva, E. V. Flisyuk, D. Yu. Ivkin, I. A. Narkevich

“…The creating an effective and safe domestic neuroprotective medicines with a complex of pleiotropic effects realized through specific orphan receptors (SUCNR1, HCA2) of glial cells, is a pressing problem of modern pharmacology and a promising possibility of pharmacotherapy of brain injury and cerebrovascular diseases. …”
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A Fast Satellite Selection Method Based on the Multi-Strategy Fusion Grey Wolf Optimization Algorithm for Low Earth Orbit Satellites by Wei Lv, Mingjian Chen, Xingyu Shi, Yuxing Li, Yang Shen, Wanli Li, Shuai Tong

“…The traditional satellite selection algorithms have the problems of high computational complexity and significant hardware dependence. …”
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Research on the A* Algorithm Based on Adaptive Weights and Heuristic Reward Values by Xizheng Wang, Gang Li, Zijian Bian

“…Finally, a secondary optimization of the path is performed to increase the distance between the path and the barriers, and the optimized path is smoothed using Bessel curves. …”
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Evaluation of newly combination of Trichoderma with dimethyl disulfide fumigant to control Fusarium oxysporum, optimize soil microbial diversity and improve tomato yield by Zhaoai Shi, Min Zhang, Guangming Chen, Aocheng Cao, Qiuxia Wang, Dongdong Yan, Wensheng Fang, Yuan Li

“…By monitoring the variations in soil microbial communities and resistance to gray mold, it was found that the addition of Trichoderma (TAF and THZ) could effectively inhibit the growth of soil-borne pathogens and significantly reduce the occurrence of gray mold, thereby significantly enhancing tomato yield, with an average increase of 11.5 %. High-throughput sequencing results demonstrated that the addition of Trichoderma suspension after fumigation had a significant impact on bacterial microbial communities, increasing the abundance of beneficial bacteria and fungi such as Truepera, Kernia, Agronomyces, Tumebacillus, and Acidibacter, optimizing the structure of soil microbial communities and promoting the healthy and sustainable development of soil and microecosystems. …”
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An Improved Marriage in Honey-Bee Optimization Algorithm for Minimizing Earliness/Tardiness Penalties in Single-Machine Scheduling with a Restrictive Common Due Date by Pedro Palominos, Mauricio Mazo, Guillermo Fuertes, Miguel Alfaro

“…This study evaluates the efficiency of a swarm intelligence algorithm called marriage in honey-bee optimization (MBO) in solving the single-machine weighted earliness/tardiness problem, a type of NP-hard combinatorial optimization problem. …”
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Optimized integration of photovoltaic systems and distribution static compensators in distribution networks using a novel discrete-continuous version of the adaptive JAYA algorithm... by Paolo Iván Cubillo-Leyton, Oscar Danilo Montoya, Luis Fernando Grisales-Noreña

“…This document addresses the problem regarding the optimal siting and sizing of photovoltaic generators (PVs) and distributed static compensators (D-STATCOMs) in electrical distribution networks, with annualized investment and operating costs minimization as the objective function, incorporating a 10% investment recovery rate and a 2% annual energy cost increase. …”
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Efficient resource allocation in cloud environment using SHO-ANN-based hybrid approach by Sanjeev Sharma, Pradeep Singh Rawat

“…The existing static, dynamic, and Meta-Heuristic approaches provide the solution to the virtual machine allocation problem. These techniques stuck with the local optimal solution. …”
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Particle Swarm Optimization Algorithm for Determining Global Optima of Investment Portfolio Weight Using Mean-Value-at-Risk Model in Banking Sector Stocks by Moh. Alfi Amal, Herlina Napitupulu, Sukono

“…Computational algorithms are systematically written instructions or steps used to solve logical and mathematical problems with computers. These algorithms are crucial to rapidly and efficiently analyzing complex data, especially in global optimization problems like portfolio investment optimization. …”
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Integrated transmission expansion planning incorporating fault current limiting devices and thyristor-controlled series compensation using meta-heuristic optimization techniques by Abdulaziz Almalaq, Khalid Alqunun, Rabeh Abbassi, Ziad M. Ali, Mohamed M. Refaat, Shady H. E. Abdel Aleem

“…The ten meta-heuristic algorithms considered in this study include Sinh Cosh Optimizer, Walrus Optimizer, Snow Geese Algorithm, Triangulation Topology Aggregation Optimizer, Electric Eel Foraging Optimization, Kepler Optimization Algorithm (KOA), Dung Beetle Optimizer, Sea-Horse Optimizer, Special Relativity Search, and White Shark Optimizer (WSO). …”
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Enhanced Energy Management System in Smart Homes Considering Economic, Technical, and Environmental Aspects: A Novel Modification-Based Grey Wolf Optimizer by Moslem Dehghani, Seyyed Mohammad Bornapour, Ehsan Sheybani

“…Three objective functions are considered in the proposed energy management: electricity bill, peak-to-average ratio (PAR), and pollution emissions. To solve the optimization problem, a novel modification-based grey wolf optimizer (GWO) is proposed. …”
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