Title:
An evolutionary method for synthesizing technological planning and architectural advance
An evolutionary method for synthesizing technological planning and architectural advance
dc.contributor.advisor | Mavris, Dimitri N. | |
dc.contributor.author | Cole, Bjorn Forstrom | en_US |
dc.contributor.committeeMember | Costello, Mark | |
dc.contributor.committeeMember | German, Brian J. | |
dc.contributor.department | Aerospace Engineering | en_US |
dc.date.accessioned | 2009-08-26T18:16:53Z | |
dc.date.available | 2009-08-26T18:16:53Z | |
dc.date.issued | 2009-05-18 | en_US |
dc.description.abstract | There are many times in which a critical choice between proposed system architectures must be made. Two situations in particular motivate this dissertation: a "Cambrian explosion" when no dominant rchitecture has arisen, and times in which developments enable challenges to a dominant incumbent. In each situation, the advance of core technologies is key. This dissertation features a new computing technique to systematically explore the interaction of technological progress with architectural choices. This technique is founded upon a graph theoretic formulation of architecture, which enables the consideration of multifunctional components and modularity v. synergy trades. The technique utilizes a genetic algorithm formulated for graphs, and a solver that automatically constrains and optimizes component design variables. The use of quantitative technology models, graph theoretic formulation, and optimization algorithms together enables a systematic exploration of both time and combinatorial spaces. The quantitative results of this exploration enhance the strategic view of technology planners. | en_US |
dc.description.degree | Ph.D. | en_US |
dc.identifier.uri | http://hdl.handle.net/1853/29758 | |
dc.publisher | Georgia Institute of Technology | en_US |
dc.subject | Combinatorial optimization | en_US |
dc.subject | Systems engineering | en_US |
dc.subject | Strategic planning | en_US |
dc.subject | Architecture | en_US |
dc.subject.lcsh | Genetic algorithms | |
dc.subject.lcsh | Algorithms | |
dc.subject.lcsh | Problem solving | |
dc.title | An evolutionary method for synthesizing technological planning and architectural advance | en_US |
dc.type | Text | |
dc.type.genre | Dissertation | |
dspace.entity.type | Publication | |
local.contributor.advisor | Mavris, Dimitri N. | |
local.contributor.corporatename | Daniel Guggenheim School of Aerospace Engineering | |
local.contributor.corporatename | Aerospace Systems Design Laboratory (ASDL) | |
local.contributor.corporatename | College of Engineering | |
local.relation.ispartofseries | Doctor of Philosophy with a Major in Aerospace Engineering | |
relation.isAdvisorOfPublication | d355c865-c3df-4bfe-8328-24541ea04f62 | |
relation.isOrgUnitOfPublication | a348b767-ea7e-4789-af1f-1f1d5925fb65 | |
relation.isOrgUnitOfPublication | a8736075-ffb0-4c28-aa40-2160181ead8c | |
relation.isOrgUnitOfPublication | 7c022d60-21d5-497c-b552-95e489a06569 | |
relation.isSeriesOfPublication | f6a932db-1cde-43b5-bcab-bf573da55ed6 |
Files
Original bundle
1 - 1 of 1
- Name:
- cole_bjorn_f_200908_phd.pdf
- Size:
- 2.34 MB
- Format:
- Adobe Portable Document Format
- Description: