ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1902.03390
  4. Cited By
Optimization of dynamic mobile robot path planning based on evolutionary
  methods

Optimization of dynamic mobile robot path planning based on evolutionary methods

9 February 2019
M. Fetanat
S. H. Klidbary
Saeed Bagheri Shouraki
ArXiv (abs)PDFHTML

Papers citing "Optimization of dynamic mobile robot path planning based on evolutionary methods"

1 / 1 papers shown
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network
  Optimized by an Improved Harris Hawks Algorithm for Classification of
  Pulmonary Arterial Wedge Pressure
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge PressureIEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2021
M. Fetanat
Michael C. Stevens
P. Jain
C. Hayward
Erik H. W. Meijering
N. Lovell
216
26
0
16 Jan 2023
1
Page 1 of 1