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University of Illinois at Urbana-Champaign
Optimization by simulated evolution and its application to cell placement
Abstract
dc:descriptionWe introduce the new optimization method of Simulated Evolution (SE), which is designed to find near optimal solutions to problems which are hard to solve by standard methods. The new algorithm is discussed in detail and a variety of measurements are taken to evaluate its performance under various conditions. In addition, a theoretical framework is introduced to formally describe the algorithm. A Markov analysis is performed using this mathematical model to analyze convergence properties.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Engineering, Electronics and Electrical
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2011
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Kling, Ralph Michael
- Contributors dc:contributor
-
- Banerjee, Prithviraj
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- Copyright 1990 Kling, Ralph Michael
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
-
AAI9114300
(UMI)AAI9114300 - OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/23634