Junbo Zhao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Junbo Zhao has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Florentin Ipate
University of Bucharest
1 shared publication - Gexiang Zhang
School of Automation, Chengdu University of Information Technology, Chengdu, China
1 shared publication - Haina Rong
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China
1 shared publication - Raluca Lefticaru
University of Bradford
1 shared publication - Xueyuan Wang
School of Information Engineering, Southwest University of Science and Technology, Mianyang, China
1 shared publication
Latest Publications
- Open Access
- 1 June 2015
- Published by Agora University of Oradea in International Journal of Computers Communications & Control
- Vol. 10 (5) , 732-745
A Modified Membrane-Inspired Algorithm Based on Particle Swarm Optimization for Mobile Robot Path Planning
To solve the multi-objective mobile robot path planning in a dangerous environment with dynamic obstacles, this paper proposes a modified membraneinspired algorithm based on particle swarm optimization (mMPSO), which combines membrane systems with particle swarm optimization. In mMPSO, a dynamic double one-level membrane structure is introduced to arrange the particles with various dimensions and perform the communications between particles in different membranes; a point repair algorithm is presented to change an infeasible path into a feasible path; a smoothness algorithm is proposed to remove the redundant information of a feasible path; inspired by the idea of tightening the fishing line, a moving direction adjustment for each node of a path is introduced to enhance the algorithm performance. Extensive experiments conducted in different environments with three kinds of grid models and five kinds of obstacles show the effectiveness and practicality of mMPSO.
- 1 June 2015
- Published by Agora University of Oradea in International Journal of Computers Communications & Control
- Vol. 10 (5) , 732-745
Open AccessA Modified Membrane-Inspired Algorithm Based on Particle Swarm Optimization for Mobile Robot Path Planning
To solve the multi-objective mobile robot path planning in a dangerous environment with dynamic obstacles, this paper proposes a modified membraneinspired algorithm based on particle swarm optimization (mMPSO), which combines membrane systems with particle swarm optimization. In mMPSO, a dynamic double one-level membrane structure is introduced to arrange the particles with various dimensions and perform the communications between particles in different membranes; a point repair algorithm is presented to change an infeasible path into a feasible path; a smoothness algorithm is proposed to remove the redundant information of a feasible path; inspired by the idea of tightening the fishing line, a moving direction adjustment for each node of a path is introduced to enhance the algorithm performance. Extensive experiments conducted in different environments with three kinds of grid models and five kinds of obstacles show the effectiveness and practicality of mMPSO.