15 papers · ranked by Valyu relevance
Aditi Moudgil, Shalli Rani, Fazlullah Khan, Muhammad Shahid Anwar
Due to the fast development of intelligent transportation systems and connected vehicles, efficient computation offloading and resource management in vehicular edge computing (VEC) environments have become crucial issues. Low latency, optimality in resource usage, and clarity in decision-making is an open research…
Zhijun Teng, Liangcen Gu, Mingyang Sun, Mugang He
Inspired by the intricate group dynamics of wild gorilla populations, the Artificial Gorilla Troops Optimizer (GTO) represents a novel approach in swarm intelligence. Despite its effectiveness in performing global exploration, GTO is prone to early convergence and can easily become stuck in local optima, especially…
Sayed Kenawy, Amel Ali Alhussan, Doaa Sami Khafaga, Ebrahim A. Mattar + 2 more
The quick adoption of IoT technologies in smart buildings for monitoring the environment makes it possible to check environmental conditions frequently, but it also makes it challenging to process and analyze all the information regularly. This continuous data flow demands accurate forecasting models to support…
Xiajie Zhao, Zuowen Bao, Yu Shao, Na Liang + 2 more
The gradual deterioration of fresco pictorial information presents a formidable obstacle for conservators dedicated to protecting humanity’s shared cultural legacy. Currently, scholars in the field of mural conservation predominantly focus on image segmentation techniques as a vital tool for facilitating mural…
Chenglong Wang, Chengqian Tan, Youyou Cheng, Yinggao Yue
Optimization algorithms play a crucial role in solving complex problems in reservoir geology and engineering, particularly those involving highly non-linear, multi-parameter, and high-dimensional systems. In the context of reservoir development, accurate optimization is essential for enhancing hydrocarbon recovery…
Dipti Singh, Neha Chand
This study introduces a novel Parallel Grasshopper Optimization Algorithm (p-GOA), specifically designed to address reliability optimization problems. Although several hybrid algorithms exist in this field, the proposed p-GOA distinctly differs through its parallel cooperative strategy. Unlike sequential methods that…
N. Jayalakshmi, K. Sakthivel
To achieve robust and user friendly software, it is crucial to make sure that Graphical User Interfaces (GUI) is of quality and reliable. The paper suggests a new method of Quasi-Oppositional Genetic Sparrow Search Algorithm (OOGSSA) of generating test cases efficiently in GUI. The ultimate goal is to have…
Kecheng Su, Yaoyang Wang, Yikang Kong, Wenan Liu + 1 more
Multi-objective optimization problems have extensive application value in the fields of engineering and science, among which UAV path planning, as a typical application scenario, has attracted considerable attention. This study innovatively proposes a multi-objective extension of the Gold Rush Optimization algorithm…
Yipeng Shao, Fazhan Tao, Pengju Si, Baofeng Ji + 1 more
In the context of sustainable agriculture and precision agriculture, autonomous mobile robots play a pivotal role in intelligent plant pest and disease detection. However, navigation within complex agricultural environments-characterized by narrow crop rows and irregular obstacles-remains a persistent challenge. To…
Ying Duan, Luyi Shi, Mingyang Li, Kangmin Hua + 2 more
The Flexible job-shop scheduling problem (FJSP) is a quintessential NP-hard problem in the field of production scheduling. With the development of intelligent manufacturing industry, minimizing the total completion time in workshops has become a crucial research focus. Swarm intelligence algorithms have been widely…
Ran Zhang, Xiaohan Li, Caihua Wan, Raik Hoffmann + 14 more
Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance efficiency and solution quality at scale. We present a probabilistic framework that embeds true random number generators…
Paulo Figueroa-Torrez, Broderick Crawford, Orlando Durán, Martín Jurado-Camacho + 4 more
The Cell Formation Problem plays a fundamental role in cellular manufacturing due to its impact on efficiency, flexibility, and reliability. Its complexity increases under real-world conditions involving alternative process routes and machine reliability constraints, leading to the Generalized Cell Formation Problem…
Zihao Cheng, Li Cao, Yang Qiu, Yinggao Yue + 1 more
Aiming at the problems of uneven population initialization distribution, easy trapping in local optima, unbalanced exploration and exploitation capabilities, insufficient optimization accuracy and convergence speed of the original Greater Cane Rat Algorithm (GCRA), this paper proposes a Chaos-Integrated…
Jingmei Zhou, Bing Li, Shanshan Yang, Chungang Liu + 1 more
Traditional Ultra-wideband (UWB) positioning algorithms cannot achieve ideal positioning results when facing multipath effects and non-line-of-sight (NLOS) factors. In order to improve the accuracy of UWB indoor positioning, this paper proposes an improved grey wolf optimization (GWO) algorithm for 3-D UWB indoor…
Wenxing Wu, Liqin Tian, Junyi Wu, Lianhai Lin + 1 more
Many increasingly complex multi-objective optimization problems are emerging, and there is an urgent need to develop new multi-objective optimization algorithms to meet the challenges. This study introduces the Multi-Objective Dung Beetle Optimization Algorithm (MODBO), which integrates competitive and neighborhood…