Path Planning of Mobile Robot Based on Hybrid Multi-Objective Bare Bones Particle Swarm Optimization With Differential Evolution

An improved path planning for mobile robots is proposed based on the hybrid multi-objective bare-bones particle swarm optimization with differential evolution. The mathematical model for robot path planning is firstly devised as a tri-objective optimization with three indices, i.e., the path length,...

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Main Authors: Jian-Hua Zhang, Yong Zhang, Yong Zhou
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8436432/
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author Jian-Hua Zhang
Yong Zhang
Yong Zhou
author_facet Jian-Hua Zhang
Yong Zhang
Yong Zhou
author_sort Jian-Hua Zhang
collection DOAJ
description An improved path planning for mobile robots is proposed based on the hybrid multi-objective bare-bones particle swarm optimization with differential evolution. The mathematical model for robot path planning is firstly devised as a tri-objective optimization with three indices, i.e., the path length, the smoothness degree of a path, and the safety degree of a path. Then, a hybrid multi-objective bare bones particle swarm optimization is developed to generate feasible paths by combining infeasible paths blocked by obstacles with feasible paths via improved mutation strategies of differential evolution. In addition, a new Pareto domination with collision constraints is developed to select the personal best position of a particle according to the definition of the collision degree of a path. Simulation results confirm the effectiveness of our algorithm.
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spelling doaj.art-98296bdb2a2649478ac191e77a5d3dd42022-12-21T19:56:47ZengIEEEIEEE Access2169-35362018-01-016445424455510.1109/ACCESS.2018.28641888436432Path Planning of Mobile Robot Based on Hybrid Multi-Objective Bare Bones Particle Swarm Optimization With Differential EvolutionJian-Hua Zhang0https://orcid.org/0000-0002-9466-2923Yong Zhang1Yong Zhou2School of Mechanical and Electrical Engineering, Xuzhou Institute of Technology, Xuzhou, ChinaSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, ChinaSchool of Computer Science Technology, China University of Mining and Technology, Xuzhou, ChinaAn improved path planning for mobile robots is proposed based on the hybrid multi-objective bare-bones particle swarm optimization with differential evolution. The mathematical model for robot path planning is firstly devised as a tri-objective optimization with three indices, i.e., the path length, the smoothness degree of a path, and the safety degree of a path. Then, a hybrid multi-objective bare bones particle swarm optimization is developed to generate feasible paths by combining infeasible paths blocked by obstacles with feasible paths via improved mutation strategies of differential evolution. In addition, a new Pareto domination with collision constraints is developed to select the personal best position of a particle according to the definition of the collision degree of a path. Simulation results confirm the effectiveness of our algorithm.https://ieeexplore.ieee.org/document/8436432/Robotpath planningparticle swarm optimizationdifferential evolution
spellingShingle Jian-Hua Zhang
Yong Zhang
Yong Zhou
Path Planning of Mobile Robot Based on Hybrid Multi-Objective Bare Bones Particle Swarm Optimization With Differential Evolution
IEEE Access
Robot
path planning
particle swarm optimization
differential evolution
title Path Planning of Mobile Robot Based on Hybrid Multi-Objective Bare Bones Particle Swarm Optimization With Differential Evolution
title_full Path Planning of Mobile Robot Based on Hybrid Multi-Objective Bare Bones Particle Swarm Optimization With Differential Evolution
title_fullStr Path Planning of Mobile Robot Based on Hybrid Multi-Objective Bare Bones Particle Swarm Optimization With Differential Evolution
title_full_unstemmed Path Planning of Mobile Robot Based on Hybrid Multi-Objective Bare Bones Particle Swarm Optimization With Differential Evolution
title_short Path Planning of Mobile Robot Based on Hybrid Multi-Objective Bare Bones Particle Swarm Optimization With Differential Evolution
title_sort path planning of mobile robot based on hybrid multi objective bare bones particle swarm optimization with differential evolution
topic Robot
path planning
particle swarm optimization
differential evolution
url https://ieeexplore.ieee.org/document/8436432/
work_keys_str_mv AT jianhuazhang pathplanningofmobilerobotbasedonhybridmultiobjectivebarebonesparticleswarmoptimizationwithdifferentialevolution
AT yongzhang pathplanningofmobilerobotbasedonhybridmultiobjectivebarebonesparticleswarmoptimizationwithdifferentialevolution
AT yongzhou pathplanningofmobilerobotbasedonhybridmultiobjectivebarebonesparticleswarmoptimizationwithdifferentialevolution