Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics

Yang，Jian; Zhao，Donghui; Xiang，Xinhao; Shi，Yuhui

10.1007/978-3-030-78811-7_16

2021

0302-9743

1611-3349

LECT NOTES ARTIF INT

12690 LNCS

155-167

Swarm intelligence optimization algorithms can be adopted in swarm robotics for target searching tasks in a 2-D or 3-D space by treating the target signal strength as fitness values. Many current works in the literature have achieved good performance in single-target search problems. However, when there are multiple targets in an environment to be searched, many swarm intelligence-based methods may converge to specific locations prematurely, making it impossible to explore the environment further. The Brain Storm Optimization (BSO) algorithm imitates a group of humans in solving problems collectively. A series of guided searches can finally obtain a relatively optimal solution for particular optimization problems. Furthermore, with a suitable clustering operation, it has better multi-modal optimization performance, i.e., it can find multiple optima in the objective space. By matching the members in a robotic swarm to the individuals in the algorithm under both environments and robots constraints, this paper proposes a BSO-based collaborative searching framework for swarm robotics called Robotic BSO. The simulation results show that the proposed method can simulate the BSO’s guided search characteristics and has an excellent prospect for multi-target searching problems for swarm robotics.

Brain Storm Optimization Multi-target searching Swarm robotics

第一 ; 通讯

英语

EI

20213210753690

Optimization ; Robotics ; Storms

Precipitation:443.3 ; Robotics:731.5 ; Optimization Techniques:921.5

2-s2.0-85112036055

Scopus

Department Computer Science and Engineering,Southern University of Science and Technology (SUSTech),Shenzhen,518055,China

Yang，Jian,Zhao，Donghui,Xiang，Xinhao,et al. Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics[C],2021:155-167.