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Abstract: rational scheduling of limited computational resources in testing candidate heuristics in single-objective as well as multi-objective learning, and (d) finding heuristics that can be generalized to unlearned subdomains. We show experimental results in learning better heuristics for (a) process placement for distributed-memory multicomputers, (b) node decomposition in a branch-and-bound search, (c) generation of test patterns in VLSI circuit testing, (d) VLSI cell placement and routing, and (e) ... (Update)
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BibTeX entry: (Update)
A. Ieumwananonthachai. Automated Design of Knowledge-Lean Heuristics: Learning, Resource Scheduling, and Generalization. Ph.D. Thesis, Dept. of Electrical and Computer Engineering, Univ. of Illinois, Urbana, IL, May 1996. http://citeseer.ist.psu.edu/ieumwananonthachai96automated.html More
@misc{ ieumwananonthachai96automated,
author = "A. Ieumwananonthachai",
title = "Automated Design of Knowledge-Lean Heuristics: Learning",
text = "A. Ieumwananonthachai. Automated Design of Knowledge-Lean Heuristics: Learning,
Resource Scheduling, and Generalization. Ph.D. Thesis, Dept. of Electrical
and Computer Engineering, Univ. of Illinois, Urbana, IL, May 1996.",
year = "1996",
url = "citeseer.ist.psu.edu/ieumwananonthachai96automated.html" }
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