Time-Dependent Electric Vehicle Routing Problem with Time Windows and Path Flexibility by Li Wang, Shuai Gao, Kai Wang, Tong Li, Lin Li, Zhiyuan Chen

“…Hereinafter, an improved version of the variable neighborhood search (VNS) algorithm is utilized to solve the proposed models, in which multithreading technique is adopted to improve the solution efficiency significantly. Ultimately, several numerical experiments are carried out to test the performance of VNS with a view to the conclusion that the improved VNS is effective in finding high-quality distribution schemes consisted of the distribution routes, traveling paths, and charging plans, which are of practical significance to select and arrange EVs for logistics enterprises.…”
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An Optimized Path Planning Method for Coastal Ships Based on Improved DDPG and DP by Yiquan Du, Xiuguo Zhang, Zhiying Cao, Shaobo Wang, Jiacheng Liang, Fengge Zhang, Jiawei Tang

“…On the other hand, the traditional reward function of DDPG may lead to low learning efficiency and convergence speed of the model. Hence, this paper improves the reward principle of traditional DDPG through the mainline reward function and auxiliary reward function, which not only helps to plan a better path for ship but also improves the convergence speed of the model. …”
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Conflict of interests and reconstruction path of the Yellow River water rights trading system by CHEN Zhifeng

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A Shortest Distance Priority UAV Path Planning Algorithm for Precision Agriculture by Guoqing Zhang, Jiandong Liu, Wei Luo, Yongxiang Zhao, Ruiyin Tang, Keyu Mei, Penggang Wang

“…In addition, the root mean square propagation (RMSP) method is used to dynamically adjust the learning rate according to gradient changes, which accelerates the learning process and improves path planning efficiency. In this study, firstly, the proposed method was compared with state-of-the-art path planning techniques (including A-star, Dijkstra, and traditional Q-learning) in terms of learning time and path length through a grid-based 2D simulation environment. …”
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Tracing the path from conservation to expansion evolutionary insights into NLR genes in oleaceae by Saba Parvez, Maryam Asif, Alizay Ahmad, Iqra Javaid, Muhammad Zaman Rasheed, Romana Iftikhar, Nada H. Aljarba, Rabia Zafar, Aqsa sarwar, Rao Sohail Ahmed Khan, Saad Serfraz

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Digital transformation of modern corporation management tools: the current state and development paths by V. A. Laptev, S. Yu. Chucha, D. R. Feyzrakhmanova

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Socio-hydrological prediction of soft-path vs. hard-path in flood risk management under climate change: A case study from the Lower Kelani River Basin, Sri Lanka by Chamal Perera, Katsunori Tamakawa, Mohamed Rasmy, Tomoki Ushiyama, Shinichiro Nakamura

“…Floodplain dynamics were assessed under four management options: business-as-usual, soft-path, hard-path, and combined hard- and soft-path scenarios. …”
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Energy Efficiency in Network Slicing: Survey and Taxonomy by Adnei Willian Donatti, Marcia Cristina Machado, Marvin Alexander Lopez Martinez, Sabino S. Rogerio Antunes, Eli Carlos Figueiredo Souza, Sand L. Correa, Tiago C. Ferreto, Jose Augusto Suruagy, Joberto S. B. Martins, Tereza Cristina Carvalho

“…This survey addresses the need for a comprehensive and holistic perspective on energy-efficient NS by reviewing and classifying recent strategies across the NS life cycle. …”
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A Scheduling Model in Capturing Methane Gas from Methane Clathrates Deposits by Anyanwu U. O., Okafor O. C., Nkwor C. A.

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Adaptive Path Planning for Multi-UAV Systems in Dynamic 3D Environments: A Multi-Objective Framework by Gregorius Airlangga, Ronald Sukwadi, Widodo Widjaja Basuki, Lai Ferry Sugianto, Oskar Ika Adi Nugroho, Yoel Kristian, Radyan Rahmananta

“…The Adaptive Multi-Objective Path Planning (AMOPP) framework is highlighted for its ability to balance multiple objectives, including path length, smoothness, collision avoidance, and real-time responsiveness. …”
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An advanced Successive Derivative Shortest Path algorithm for concave cost network flow problems by Lu Yang, Zhouwang Yang

“…To overcome these limitations, this paper proposes the Successive Derivative Shortest Path (SDSP) algorithm, an efficient approach that combines a sequential linear approximation framework with regional first-order information of the objective function. …”
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Resilient Multi-Robot Coverage Path Redistribution Using Boustrophedon Decomposition for Environmental Monitoring by Junghwan Gong, Hyunbin Kim, Seunghwan Lee

“…By iteratively reallocating the failed robot’s coverage path to neighboring robots, the method prevents any single robot from becoming overburdened, ensuring efficient task distribution and continuous environmental monitoring. …”
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Multi-Strategy Fusion Path Planning Algorithm for Autonomous Surface Vessels with Dynamic Obstacles by Yongshun Xie, Chengyong Liu, Yixiong He, Yong Ma, Kang Liu

“…The efficient hybrid algorithm yields notable improvements in the path planning success rate, obstacle avoidance efficacy, and path smoothness compared with the isolated employment of either FMM or DWA, demonstrating superiority and practical applicability in maritime scenarios. …”
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Path Planning for Construction Robot Based on the Improved A* Algorithm and Building Information Modeling by Dejiang Wang, Bolong Liu, Haili Jiang, Panpan Liu

“…It not only ensures the safety and smoothness of path planning but also enables the fast and efficient generation of environment maps. …”
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Precise path following of underactuated ship based on neurodynamic optimization and model predictive control by Junqiao SHI, Cheng LIU, Weili GUO, Ting SUN, Xuegang WANG, Feng XU

“…Overall, the simulation results show that the presented efficient predictive controller can achieve arbitrary path following. …”
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Construction and Realization Path Analysis of Cross-Border E-Commerce Logistics Collaboration Model by Meng Ma

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Fast Transmission Matrix Measurement of a Multimode Optical Fiber With Common Path Reference by Raphael Florentin, Vincent Kermene, Agnes Desfarges-Berthelemot, Alain Barthelemy

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Path planning algorithm based on the improved Informed-RRT* using the sea-horse optimizer by YAN Guiseng, YANG Jie

“…Additionally, adaptive step sizes and random perturbations were employed to adapt to obstacles in the environment, and the best individuals were chosen to guide the expansion direction of the random tree.ResultsThrough multiple sets of simulation and prototype tests, it is demonstrated that the improved Informed-RRT* algorithm exhibits faster convergence speed, higher search efficiency, and superior path planning performance, providing an efficient solution for path planning in complex environments.…”
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Network Lifetime Maximization in Wireless Sensor Networks with a Path-Constrained Mobile Sink by Thong Huynh, Won-Joo Hwang

“…The policy increases the network lifetime in wireless sensor networks with path-constrained mobile sink by optimizing the assignment sensor node. …”
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Optimization of Distribution Path considering Cost and Customer Satisfaction under New Retail Modes by Dengqing Wang, Yuting Yang, Yanhu Wang

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