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Gregory Barlow PhD Student Email address: gjb@cmu.edu Office: NSH 1502C Phone: (412) 268-2126 Mailing address: Carnegie Mellon University Robotics Institute 5000 Forbes Avenue Pittsburgh, PA 15213 For more information, see my personal homepage.

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Biography

artificial intelligence scheduling genetic algorithms

Research interests

I am interested in population-based search in dynamic and uncertain environments, particularly for scheduling problems. I am also interested in competitive and incremental learning techniques for the application of evolutionary computation to real-world problems.

Research interest keywords

artificial intelligence, genetic algorithms, and scheduling

Current Labs & Groups

Intelligent Coordination and Logistics Laboratory - developing new theories, techniques and software technologies in planning, scheduling and control

Publications

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems
  G. Barlow and S. Smith
  Applications of Evolutionary Computing: EvoWorkshops 2008, Springer, Berlin / Heidelberg, Vol. 4974/2008, April, 2008, pp. 606-615. [Abstract]
  Download: pdf [129 KB], ps.gz [112 KB] copyrighted

• Evolving Cooperative Control on Sparsely Distributed Tasks for UAV Teams Without Global Communication
  G. Barlow, C. Oh, and S. Smith
  tech. report CMU-RI-TR-07-24, Robotics Institute, Carnegie Mellon University, July, 2007. [Abstract]
  Download: pdf [113 KB], ps.gz [77 KB] copyrighted