Optimal Strategy for Multi-agent Mission Segregation: Search and Coverage Application
Publish Year: 1403
نوع سند: مقاله ژورنالی
زبان: English
View: 35
This Paper With 13 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JASTI-17-1_004
تاریخ نمایه سازی: 29 بهمن 1402
Abstract:
Significant attention has been given to the field of multi-agent systems in recent years due to its potential to solve complex problems that cannot be addressed by a single agent. One such problem is the cooperative search and coverage application, which requires multiple agents to efficiently search and cover a given area. However, the effectiveness of such systems is dependent on various factors, including mission definition parameters and the approach used to achieve mission performance optimality. In this paper, an optimal strategy for segregating multi-agent missions for search and coverage applications is proposed. The proposed strategy involves dividing a single mission into several simultaneous missions based on the optimal division of the environment that ensures system performance optimality while achieving a common goal. The mission area is divided into sub-areas, and each sub-area is assigned to specific agents to improve overall system performance. The effectiveness of the proposed strategy is demonstrated through simulations and relevant comparisons.
Keywords:
Authors
Benyamin Ebrahimi
Intelligent Control Systems Institute, K.N. Toosi University of Technology, Tehran, Iran
Jafar Roshanian
Intelligent Control Systems Institute, K. N. Toosi University of Technology, Tehran, Iran.
AliAsghar Bataleblu
Faculty of Engineering, Free University of Bolzano Bozen, Bolzano, Italy
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :