Missouri University of Science and Technology
Multi-objective combinatorial optimization problems in transportation and defense systems
Abstract
dc:description.abstract"Multi-objective Optimization problems arise in many applications; hence, solving them efficiently is important for decision makers. A common procedure to solve such problems is to generate the exact set of Pareto efficient solutions. However, if the problem is combinatorial, generating the exact set of Pareto efficient solutions can be challenging. This dissertation is dedicated to Multi-objective Combinatorial Optimization problems and their applications in system of systems architecting and railroad track inspection scheduling. In particular, multi-objective system of systems architecting problems with system flexibility and performance improvement funds have been investigated. Efficient solution methods are proposed and evaluated for not only the system of systems architecting problems, but also a generic multi-objective set covering problem. Additionally, a bi-objective track inspection scheduling problem is introduced for an automated ultrasonic inspection vehicle. Exact and approximation methods are discussed for this bi-objective track inspection scheduling problem"--Abstract, page iii.
Degree
thesis:*- Name thesis:degree_name
- Ph. D. in Systems Engineering
- Grantor
- Missouri University of Science and Technology
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Farhangi, Hadi
Subjects
dc:subject × 5Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholarsmine.mst.edu/doctoral_dissertations/2559
- OAI identifier oai:identifier
- oai:scholarsmine.mst.edu:doctoral_dissertations-3564