Опубликована: Май 27, 2024
Язык: Английский
Опубликована: Май 27, 2024
Язык: Английский
Results in Engineering, Год журнала: 2025, Номер 26, С. 105561 - 105561
Опубликована: Июнь 1, 2025
Язык: Английский
Процитировано
0Agriculture, Год журнала: 2024, Номер 14(8), С. 1372 - 1372
Опубликована: Авг. 15, 2024
As the global population grows, achieving Zero Hunger by 2030 presents a significant challenge. Vertical farming technology offers potential solution, making path planning of agricultural robots in vertical farms research priority. This study introduces Farming System Multi-Robot Trajectory Planning (VFSMRTP) model. To optimize this model, we propose Elitist Preservation Differential Evolution Grey Wolf Optimizer (EPDE-GWO), an enhanced version (GWO) incorporating elite preservation and differential evolution. The EPDE-GWO algorithm is compared with Genetic Algorithm (GA), Simulated Annealing (SA), Dung Beetle (DBO), Particle Swarm Optimization (PSO). experimental results demonstrate that reduces length 24.6%, prevents premature convergence, exhibits strong search capabilities. Thanks to DE EP strategies, requires fewer iterations reach optimal stability robustness, consistently finds solution at high frequency. These attributes are particularly context farming, where optimizing robotic essential for maximizing operational efficiency, reducing energy consumption, improving scalability operations.
Язык: Английский
Процитировано
3Опубликована: Апрель 19, 2024
Язык: Английский
Процитировано
0Опубликована: Май 27, 2024
Язык: Английский
Процитировано
0