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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 5

Cooperative optimization of multi-farm machine based on K-means ++ algorithm and ydse algorithm

Peng Wangyinan1,2
Lai Huicheng1,2
Yu Yiran1,2
Zhang Guo1,2
1. The College of Computer Science & Technology, Xinjiang University, Ürümqi 830046, China
2. the Key Laboratory of Signal Detection & Processing of Xinjiang Uygur Autonomous Region, Ürümqi 830046, China
DOI: 10.19734/j.issn.1001-3695.2024.10.0416

Abstract

In agricultural production, the issue of machinery wear is often overlooked, leading to inefficient task allocation and path planning. This study aims to propose an efficient task allocation and path planning algorithm to enhance agricultural productivity. A comprehensive approach is developed in this research, Wear-Aware Multi-Machine Collaborative Optimization Method(WAMMCO) . First, an improved K-means++ algorithm is designed by integrating the Dutch auction mechanism and penalty factor mechanism, along with bias processing, to achieve balanced workload distribution among machinery. Second, a metaheuristic algorithm based on the principle of Young's Double-Slit Experiment (YDSE) is developed. This algorithm incorporates discretization and multi-disturbance strategies to optimize machinery operation paths and identify the shortest routes. Finally, the study combines a greedy algorithm (GA) with actual machinery wear conditions to achieve efficient machinery allocation. Simulation results demonstrate that, in the task allocation phase, the proposed algorithm operates faster than the constrained-balanced K-means++ algorithm under similar bias constraints. In the path planning phase, the algorithm outperforms ACO, GWO, BWO, and HO algorithms in finding global optimal solutions and achieving faster convergence. During the machinery allocation phase, the algorithm exhibits feasibility, effectiveness, and rationality under varying numbers of machinery. This research provides new technological support for intelligent management in agricultural production and significantly enhances the overall performance of machinery operations.

Foundation Support

科技创新2030—"新一代人工智能"重大项目(2022ZD0115803)
新疆天山英才科技创新团队项目(2023TSYCTD0012)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.10.0416
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 5

Publish History

[2025-03-06] Accepted Paper

Cite This Article

彭汪忆楠, 赖惠成, 于逸然, 等. 基于K-means++算法与YDSE算法的多农机协同优化 [J]. 计算机应用研究, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0416. (Peng Wangyinan, Lai Huicheng, Yu Yiran, et al. Cooperative optimization of multi-farm machine based on K-means ++ algorithm and ydse algorithm [J]. Application Research of Computers, 2025, 42 (5). (2025-03-06). https://doi.org/10.19734/j.issn.1001-3695.2024.10.0416. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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