The Research on Low Carbon Logistics Routing Optimization Based on DNA-Ant Colony Algorithm by Liyi Zhang, Ying Wang, Teng Fei, Hongwei Ren

“…According to different levels of air pollution, we will establish the double objectives path optimization model with the consideration of carbon emissions cost and economy cost. …”
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TEST DIAGNOSIS AND NOISE REDUCTION RECTIFICATION OF ACCELERATING VEHICLE INTERIOR BOOMING NOISE OF A PASSENGER CAR by LIU Gang, WANG ShengBo, ZANG ZeNan, YANG Yi

“…Aiming at the roaring noise in the accelerating car of a passenger car, the corresponding troubleshooting methods for different paths when the roaring sound is diagnosed based on the transmission path are introduced; and after determining that the problem comes from the structural transmission path of the intake system, further analysis: There is a mode with a corresponding frequency at the intercooler bracket, so the engine excitation is amplified here, and coupled with the body acoustic cavity mode, and finally forms the roar of the car; furthermore, it is clear that the intercooler installation bracket structure and the The optimized plan for cooling vibration isolation is to improve the mode of the intercooler support, improve the vibration isolation effect, reduce energy transfer, eliminate modal coupling, and solve the problem. …”
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Dynamic overmodulation strategy based on torque and flux optimal tracking for DTC‐SVM of surface‐mounted PMSM drives by Peihe Li, Anwen Shen, Qipeng Tang, Xin Luo, Jinbang Xu

“…Then, by using an equivalent geometric path to intuitively express the weightless cost function, the minimum cost function can be easily solved and the optimal output voltage vector can be determined correspondingly, to achieve the fast‐tracking of both the torque and stator flux linkage. …”
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Multi-Stage Operational Resilience Metric-Driven Optimal Service Restoration in DER-Rich Power Distribution Systems by Samridhi Sajwan, Bijaya Ketan Panigrahi, Anurag K. Srivastava

“…The developed algorithm uses iterative meta-heuristic optimization to scan the system at different intervals and yield the optimal resilience-driven post-event restorative measure on observing the path redundancy. …”
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An Improved Autonomous Emergency Braking Algorithm for AGVs: Enhancing Operational Smoothness Through Multi-Stage Deceleration by Wenbo Li, Junting Qiu

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A Hierarchical Planning Method for AUV Search Tasks Based on the Snake Optimization Algorithm by Zhiwen Wen, Zhong Wang, Xiangdong Wen, Chenxi Niu, Pei Wang, Daming Zhou

“…This method decomposes the search task problem into a three-level programming problem, with the outer task planning goal of achieving the shortest encounter time between AUV and dynamic targets; the goal of task planning in the middle layer is to achieve the shortest actual navigation time for AUVs under different operating conditions; and the internal task planning is responsible for considering the comprehensive trajectory optimization under navigation constraints such as threat zone, path length, and path smoothness. …”
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An Improved Ant Colony Optimization Based on an Adaptive Heuristic Factor for the Traveling Salesman Problem by Pengzhen Du, Ning Liu, Haofeng Zhang, Jianfeng Lu

“…The traveling salesman problem (TSP) is a typical combinatorial optimization problem, which is often applied to sensor placement, path planning, etc. …”
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Optimizing Route Planning via the Weighted Sum Method and Multi-Criteria Decision-Making by Guanquan Zhu, Minyi Ye, Xinqi Yu, Junhao Liu, Mingju Wang, Zihang Luo, Haomin Liang, Yubin Zhong

“…The Wilcoxon signed-rank test confirms significant statistical differences among the algorithms. This study provides an effective method for experience-oriented path optimization and offers insights into algorithm selection for complex TTDP problems.…”
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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

“…In the realm of IoV, we propose OptiE2ERL, an advanced Reinforcement Learning (RL) based model designed to optimize energy efficiency and routing. Our model leverages a reward matrix and the Bellman equation to determine the optimal path from source to destination, effectively managing communication overhead. …”
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Optimal control strategy on hybrid energy storage systems to improve system inertia for a bipolar DC microgrid by Yuechao Ma, Guangchen Liu, Hongbin Hu, Jun Tao, Yu Xu

“…The simulation results in different working conditions reveal that the proposed control strategy helps in obtaining reasonable output powers of the positive and negative HESSs, improving the system inertia, ensuring the reliable operation of the SCs, and achieving the optimal operation of the system. …”
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4-D ERT monitoring of oil spill contamination dynamics and remediation planning in southern Nigeria by Stanley Uchechukwu Eze, Difference Odeyovwi Ogagarue, Juyeon Jeong, Myung Jin Nam, Omafume M. Orji, Williams N. Ofuyah

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A novel elite guidance-based social learning particle swarm optimization algorithm by QI Cheng, XIE Junwei, WANG Xue, FENG Weike, ZHANG Haowei

“…The results on comparing the ESLPSO algorithm with other eight improved PSO algorithms show that the ESLPSO algorithm has excellent search performances in solving different types of functions, having efficient robustness and excellent solutions.…”
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Delivering data: A real-world dataset for last-mile delivery optimizationZenodo by Anna Vrani, Savvas D. Apostolidis, Athanasios Ch. Kapoutsis, Elias B. Kosmatopoulos

“…While the actual delivery routes covered only specific paths taken on the road, the generated matrices provide a complete view of travel distances and times between all locations, information essential for optimizing the routing process. …”
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Dynamic heterogeneous network representation learning method based on Hawkes process by CHEN Lei, DENG Kun, LIU Xingyan

“…Firstly, the vector representation of nodes was obtained by utilizing the relational rotation encoding method and attention mechanism, where the attention coefficients of adjacent nodes were learned. Secondly, the optimal weighted combination of different meta-paths was learned to better captures the structural and semantic information of the network. …”
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Energy‐based PINNs for solving coupled field problems: Concepts and application to the multi‐objective optimal design of an induction heater by Marco Baldan, Paolo Di Barba

“…While most of the PINN algorithms in the literature minimize the local residual of the governing equations, there are energy‐based approaches that take a different path by minimizing the variational energy of the model. …”
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Optimized Model Predictive Control for improving dynamic stability and steering accuracy in multi-axle cranes. by Abdulhakeem Muhammed Ali, Yusuf Abubakar Sha'aban, Ahmed Tijani Salawudeen, Zaharuddeen Haruna, Bilyamin Muhammad, Muhammed Bashir Mu'azu, Abdullah Alharthi

“…Simulation and performance evaluation of the optimized MPC for the steering system were carried out on a curved road path for three different driving speed scenarios (25, 45, and 65 km/h). …”
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Research on Optimal Scheduling Strategy of Differentiated Resource Microgrid with Carbon Trading Mechanism Considering Uncertainty of Wind Power and Photovoltaic by Bin Li, Zhaofan Zhou, Junhao Hu, Chenle Yi

“…Finally, a low-carbon economy optimal scheduling strategy with the lowest total cost as the optimization goal is formed. …”
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A Study of the Spatial Effects of Financial Support and Economic Growth under Optimal Control of Nonlinear Generalized Complex Systems by Xuexue Tang

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Structural optimization and direct reverse superplastic forming process for aluminum alloy multi cavities pallet by Zhihao Du, Xinhua Gao, Xiangxiang Dai, Guofeng Wang, Shuobing Chen, Congzheng Zhang, Liang Li

“…Finally, the thickness distribution was measured and the maximum thickness difference between the FEM and experimental measurement was 0.1 mm. …”
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An Improved Human Evolution Optimization Algorithm for Unmanned Aerial Vehicle 3D Trajectory Planning by Xue Wang, Shiyuan Zhou, Zijia Wang, Xiaoyun Xia, Yaolong Duan

“…Experimental comparative research on three different terrain environments and five traditional algorithms shows that the IHEOA not only exhibits excellent performance in terms of convergence speed and precision but also generates superior paths while demonstrating exceptional global optimization capability and robustness in complex environments. …”
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