Graphics enhanced version of this site

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.

Jump to: Biography | Research interests | Keywords | Labs & groups | Publications

artificial intelligence scheduling genetic algorithms

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.

artificial intelligence, genetic algorithms, and scheduling

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

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