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intelligent process mapping through systematic improvement of heuristicsThe present system for automatic learning/evaluation of novel heuristic methods applicable to the mapping of communication-process sets on a computer network has its basis in the testing of a population of competing heuristic methods within a fixed time-constraint. The TEACHER 4.1 prototype learning system implemented or learning new postgame analysis heuristic methods iteratively generates and refines the mappings of a set of communicating processes on a computer network. A systematic exploration of the space of possible heuristic methods is shown to promise significant improvement.
Document ID
19920060625
Document Type
Reprint (Version printed in journal)
Authors
Ieumwananonthachai, Arthur
(NASA Ames Research Center Moffett Field, CA, United States)
Aizawa, Akiko N.
(Illinois, University Urbana, United States)
Schwartz, Steven R.
(Motorola, Inc. Arlington Heights, IL, United States)
Wah, Benjamin W.
(Illinois, University Urbana, United States)
Yan, Jerry C.
(Sterling Federal Systems, Inc.; NASA, Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 15, 2013
Publication Date
June 1, 1992
Publication Information
Publication: Journal of Parallel and Distributed Computing
Volume: 15
Issue: 2 Ju
ISSN: 0743-7315
Subject Category
CYBERNETICS
Funding Number(s)
CONTRACT_GRANT: NCC2-481
CONTRACT_GRANT: NSF MIP-88-10584
CONTRACT_GRANT: NGT-50743
Distribution Limits
Public
Copyright
Other