Evaluation of Particle Swarm Optimization, Genetic Algorithms, and Ant Colony Optimization in Autonomous Mobile Robots Scheduling: A Comparative Study
Author:
Affiliation:
1. Internet Branch, Jiaxing Vocational and, Technical College,Jiaxing,China
2. Faculty of Electrical Engineering, Universiti Teknologi Malaysia,Johor Bahru,Malaysia
3. Manchester Metropolitan University,Department of Engineering,Manchester,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10540646/10540608/10540680.pdf?arnumber=10540680
Reference15 articles.
1. A review on energy efficiency in autonomous mobile robots
2. Research on the Scheduling of Mobile Robots in Mixed-Model Assembly Lines Considering Workstation Satisfaction and Energy Consumption
3. The Use of Genetic Algorithms for Distribution of Tasks in Groups of Mobile Robots with Minimization of Energy Consumption
4. Mobile robots and evolutionary optimization algorithms for green supply chain management in a used-car resale company
5. A hybrid genetic algorithm for a home health care routing problem with time window and fuzzy demand
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