Title: Emergence mechanism of lion pride cooperative behaviours for task allocation problem and its implementation

Authors: Bowen Wu; Renbin Xiao; Zhenhui Feng

Addresses: School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; Institute of Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China ' School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China; Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology Wuhan, Hubei 430074, China ' School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China

Abstract: Task allocation is a key challenge in various fields due to increasing tasks and UAVs, leading to high computational costs. To tackle this, we employ swarm intelligence inspired by cooperative behaviours in lions, which is decentralised and adaptive. Initially, we abstract lions' cooperation behaviours and establish a formal model based on attraction-repulsion mechanisms. Then, we use multi-agent technology to simulate these behaviours, exploring parameter effects on rationality, scalability, and adaptation. We apply this model to UAV task allocation, proposing a distributed self-organising algorithm validated through simulations. Finally, we analyse factors influencing lions' cooperative behaviours, demonstrating the efficacy of the attraction-repulsion mechanism in task allocation.

Keywords: attraction-repulsion; collective intelligence; cooperative behaviour; emergence mechanism; lions; task allocation; UAVs.

DOI: 10.1504/IJBIC.2024.142557

International Journal of Bio-Inspired Computation, 2024 Vol.24 No.4, pp.252 - 264

Received: 11 Dec 2023
Accepted: 29 Feb 2024
Published online: 08 Nov 2024 *

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