Description
The main objective of this research is to develop an integrated method to study emergent behavior and consequences of evolution and adaptation in engineered complex adaptive systems (ECASs).
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Contributors
- Haghnevis, Moeed (Author)
- Askin, Ronald G. (Thesis advisor)
- Armbruster, Dieter (Thesis advisor)
- Mirchandani, Pitu (Committee member)
- Wu, Tong (Committee member)
- Hedman, Kory (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2013
Subjects
- Industrial Engineering
- Operations Research
- energy
- Agent-based Simulation
- Complex Adaptive Systems
- Demand Response
- Electricity Markets
- Non-linear Complexity
- Optimization
- Electric power systems
- Demand-side management (Electric utilities)
- Mathematical optimization
- Technological complexity
- Technology--Sociological aspects.
Resource Type
Collections this item is in
Note
- Partial requirement for: Ph.D., Arizona State University, 2013Note typethesis
- Includes bibliographical references (p. 84-93)Note typebibliography
- Field of study: Industrial engineering
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Statement of Responsibility
by Moeed Haghnevis