Mobile robot path planning using fuzzy enhanced improved Multi-Objective particle swarm optimization (FIMOPSO)

作者：

Highlights：

• Efficient algorithm is needed for cracking Car-like Robot Path Planning problems.

• An Improved Multi-objective PSO algorithm is proposed and compared with MOSPEA2.

• Five objective functions are considered in solving multi-objective CRPP problems.

• Totally six experiments were conducted to validate the proposed strategy.

• Moving obstacles around the robot and a dynamic goal point were considered.

摘要

•Efficient algorithm is needed for cracking Car-like Robot Path Planning problems.•An Improved Multi-objective PSO algorithm is proposed and compared with MOSPEA2.•Five objective functions are considered in solving multi-objective CRPP problems.•Totally six experiments were conducted to validate the proposed strategy.•Moving obstacles around the robot and a dynamic goal point were considered.

论文关键词：Car-like robot path planning,FIMOPSO,MOSPEA2,Non-holonomic and kinodynamic constraints,Static and dynamic environments

论文评审过程：Received 26 April 2021, Revised 4 September 2021, Accepted 9 March 2022, Available online 16 March 2022, Version of Record 22 March 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116875