The model of swarm robots search with local sense based on artificial physics optimisation

Authors:
Liping Xie;Gangjun Yang;Jianchao Zeng
Affiliations:
Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, No. 66 Waliu Road, Wanbailin District, Taiyuan, Shanxi, 030024, China;Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, No. 66 Waliu Road, Wanbailin District, Taiyuan, Shanxi, 030024, China;Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, No. 66 Waliu Road, Wanbailin District, Taiyuan, Shanxi, 030024, China
Venue:
International Journal of Computing Science and Mathematics
Year:
2013

Citing 11
Cited 0

Division of labor in a group of robots inspired by ants' foraging behavior

ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm

Journal of Global Optimization
Integral Particle Swarm Optimization with Dispersed Accelerator Information

Fundamenta Informaticae - Swarm Intelligence
On mass effects to artificial physics optimisation algorithm for global optimisation problems

International Journal of Innovative Computing and Applications
Artificial physics optimisation: a brief survey

International Journal of Bio-Inspired Computation
Social Cognitive Optimization Algorithm with Reactive Power Optimization of Power System

CASON '10 Proceedings of the 2010 International Conference on Computational Aspects of Social Networks
The convergence analysis of artificial physics optimisation algorithm

International Journal of Intelligent Information and Database Systems
Optimal coverage configuration with social emotional optimisation algorithm in wireless sensor networks

International Journal of Wireless and Mobile Computing
Swarm robotics: from sources of inspiration to domains of application

SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
An overview of physicomimetics

SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
Swarm robots search based on artificial physics optimisation algorithm

International Journal of Computing Science and Mathematics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Swarm robots search is an effective method for rescue operation and victim search in some disaster. Due to robot's limited sensing capability in practical applications, time-varying sense domain is introduced to denote robot's dynamic neighbourhood structure. Artificial physics optimisation APO algorithm is used to construct the model of swarm robots system. Then, the model of swarm robotic search for target with local sense based on APO is proposed, which include robot's mass function designing, force definition and the cooperative control strategy description. Simulation results under an ideal environment show that APO algorithm is feasible and effective when applied to swarm robotic search for target with local sense.