Many Objectives Autonomous Robot Path Planning with Improved MOEA/D-Reference-Cited by-同舟云学术

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Many Objectives Autonomous Robot Path Planning with Improved MOEA/D

Published:2024-06-30 Issue: Volume:1001 Page:01-08
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
language:
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Author:

Zhou Jin¹,Chieng David¹,Lee Boon Giin¹,Ji Junkai²,Li Jianqiang²

Affiliation:

1. University of Nottingham Ningbo China,Next-Generation Internet of Everything Laboratory,Department of Electrical and Electronic Engineering,Ningbo,China

2. Shenzhen University,National Engineering Laboratory for Big Data System Computing Technology,Shenzhen,China

Funder

National Nature Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10612154.pdf?arnumber=10612154

Reference33 articles.

1. A Review of Path-Planning Approaches for Multiple Mobile Robots

2. Past, Present and Future of Path-Planning Algorithms for Mobile Robot Navigation in Dynamic Environments

3. Neural-Network-Based Path Planning for a Multirobot System With Moving Obstacles

4. Path planning for a mobile robot in a dynamic environment

5. Path Planning in Complex 3D Environments Using a Probabilistic Roadmap Method

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