An evolutionary method for synthesizing technological planning and architectural advance

Combinatorial optimization;Systems engineering;Strategic planning;Architecture

Cole, Bjorn Forstrom ; Aerospace Engineering

University:Georgia Institute of Technology

Department:Aerospace Engineering

关键词: Combinatorial optimization;    Systems engineering;    Strategic planning;    Architecture;   

Others  :  https://smartech.gatech.edu/bitstream/1853/29758/1/cole_bjorn_f_200908_phd.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

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 dominantrchitecture 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.