Evaluation and Adaptation of a Constraint Optimization and Distributed, Anytime A* Algorithm to Design-To-Criteria Scheduling Problem
| dc.contributor.advisor | Podorozhny, Rodion | |
| dc.contributor.author | Shiraz, Muhammad Asif | |
| dc.contributor.committeeMember | Yang, Guowei | |
| dc.contributor.committeeMember | Guirguis, Mina S. | |
| dc.date.accessioned | 2016-06-23T17:59:27Z | |
| dc.date.available | 2016-06-23T17:59:27Z | |
| dc.date.issued | 2016-05 | |
| dc.description.abstract | Scheduling complex problem solving tasks where tasks are interrelated and there are multiple different ways to go about achieving a particular task is a computationally challenging problem. In this thesis, we study current approaches to solving such complex scheduling problems, and propose two new optimization techniques, which exploit A* based optimization, and constraint based optimization. We then perform an analytical comparison and computational complexity estimate for the efficiency enhancement achieved by these approaches, as compared against a base line case of “god’s view” based optimal policy evaluation for same problems. | |
| dc.description.department | Computer Science | |
| dc.format | Text | |
| dc.format.extent | 68 pages | |
| dc.format.medium | 1 file (.pdf) | |
| dc.identifier.citation | Shiraz, M. A. (2016). Evaluation and adaptation of a constraint optimization and distributed, anytime A* algorithm to design-to-criteria scheduling problem (Unpublished thesis). Texas State University, San Marcos, Texas. | |
| dc.identifier.uri | https://hdl.handle.net/10877/6074 | |
| dc.language.iso | en | |
| dc.subject | scheduling | |
| dc.subject | teams | |
| dc.subject | distributed constraint optimization | |
| dc.title | Evaluation and Adaptation of a Constraint Optimization and Distributed, Anytime A* Algorithm to Design-To-Criteria Scheduling Problem | |
| dc.type | Thesis | |
| thesis.degree.department | Computer Science | |
| thesis.degree.discipline | Software Engineering | |
| thesis.degree.grantor | Texas State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science |