Modification of the simulated annealing optimization technique and its application to both a dynamic control and gas tagging problem

Advanced optimization techniques, based on analogies related to physical systems rather than on classical mathematical theory, are becoming more widely used than ever before. One such type of technique is simulated annealing, a Monte Carlo (stochastic) method. Although it has been used primarily for the solution of combinatorial optimization problems, it is just starting to be applied to problems with continuous domains as well as to linear programming problems.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Nuclear, Plasma, and Radiological Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Rahn, Regina DeMers

Contributors dc:contributor

• Axford, Roy A.

• Engineering, Industrial
• Engineering, Mechanical
• Engineering, Nuclear

Statement dc:rights

• Copyright 1995 Rahn, Regina DeMers

Language dc:language

eng

Identifier

AAI9543700
(UMI)AAI9543700

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/19886