Multi-robot multi-target dynamic path planning using artificial bee colony and evolutionary programming in unknown environment-Reference-Cited by-同舟云学术

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Multi-robot multi-target dynamic path planning using artificial bee colony and evolutionary programming in unknown environment

Published:2018-02-02 Issue:2 Volume:11 Page:171-186
ISSN:1861-2776
Container-title:Intelligent Service Robotics
language:en
Short-container-title:Intel Serv Robotics

Author:

Faridi Abdul Qadir,Sharma Sanjeev,Shukla Anupam,Tiwari Ritu,Dhar Joydip

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Mechanical Engineering,Engineering (miscellaneous),Computational Mechanics

Link

http://link.springer.com/article/10.1007/s11370-017-0244-7/fulltext.html

Reference26 articles.

1. Hong Q, Xing K, Alexander T (2013) An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robots. Neurocomputing 120:509–517

2. Hossain MA, Ferdous I (2015) Autonomous robot path planning in dynamic environment using a new optimization technique inspired by bacterial foraging technique. Robot Auton Syst 64:137–141

3. Raja P, Pugazhenthi S (2009) Path planning for mobile robots in dynamic environments using particle swarm optimization. In: International conference on advances in recent technologies in communication and computing, 2009. ARTCom’09. IEEE, pp 401–405

4. Mo H, Lifang X (2015) Research of biogeography particle swarm optimization for robot path planning. Neurocomputing 148:91–99

5. Kala R, Shukla A, Tiwari R (2011) Robotic path planning in static environment using hierarchical multi-neuron heuristic search and probability based fitness. Neurocomputing 74(14):2314–2335

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