A probabilistic finite state machine based strategy for multi-target search using swarm robotics
Authors:
- Jie LiJLJie Li
- Ying TanYTYing Tan
- 1 April 2019
- journal article
- research article
- Published by Elsevier in Applied Soft Computing
- Vol. 77, 467-483
Abstract
No abstract availableKeywords
Funding Information
- Natural Science Foundation of China (NSFC) (61375119, 61673025)
- Beijing Natural Science Foundation, China (4162029)
- National Key Basic Research Development Plan (2015CB352302)
This publication has 20 references indexed in Scilit:
- Swarm robotics: a review from the swarm engineering perspectiveSwarm Intelligence, 2013
- Swarm robots search based on artificial physics optimisation algorithmInternational Journal of Computing Science and Mathematics, 2013
- Intermittent search strategiesReviews of Modern Physics, 2011
- A novel bee swarm optimization algorithm for numerical function optimizationCommunications in Nonlinear Science and Numerical Simulation, 2010
- Scaling laws of marine predator search behaviourNature, 2008
- Search researchNature, 2006
- Two-dimensional intermittent search processes: An alternative to Lévy flight strategiesPhysical Review E, 2006
- Stability Analysis of Social Foraging SwarmsIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2004
- Behavior-based formation control for multirobot teamsIEEE Transactions on Robotics and Automation, 1998
- Lévy flight search patterns of wandering albatrossesNature, 1996