文档介绍：GE Global Research
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puting and Meta-heuristics:
Using Knowledge and Reasoning to
Control Search and Vice-versa
Piero P. Bonissone
2003GRC367, April 2004
Class 1
Technical Information Series
Copyright © 2003. SPIE Publications. Used with permission.
GE Global Research
Technical Report Abstract Page
Title puting and Meta-heuristics: Using Knowledge and Reasoning to Control Search
and Vice-versa
Author(s) Piero P. Bonissone Phone: 8* 833-5155
Component Service Algorithms Lab, Niskayuna
Report
Number 2003GRC367 Date April 2004
Number
of Pages 17 Class 1
Key Words: Meta-reasoning, fuzzy controllers, evolutionary algorithms, control, optimization,
classification.
Abstract: Meta-heuristics are heuristic procedures used to tune, control, guide, allocate
computational resources or reason about object-level problem solvers in order to improve their
quality, performance, or efficiency. Offline meta-heuristics define the best structural and/or
parametric configurations for the object-level model, while on-line heuristics generate run-time
corrections for the behavior of the same object-level solvers. puting is a framework in
which we encode domain knowledge to develop such meta-heuristics. We explore the use of
meta-heuristics in three application areas: a) control; b) optimization; and c) classification. In the
context of control problems, we describe the use of evolutionary algorithms to perform offline
parametric tuning of fuzzy controllers, and the use of fuzzy supervisory controllers to perform on-
line mode-selection and output interpolation. In the area of optimization, we illustrate the
application of fuzzy controllers to manage the transition from exploration to exploitation of
evolutionary algorithms that solve the optimization problem. In the context of discrete
c