Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
495534 | Applied Soft Computing | 2014 | 14 Pages |
Abstract
- Contrary to prior evidence when studying the TSP, spatial decompositions can be as competitive as adaptive approaches.
- Decomposition methods that isolate cities within and between neighborhoods are most successful at guiding the search procedure.
- New decompositions of the TSP are analyzed and some are shown to perform better than the previous best methods.
- A progressive multi-objectivization method is proposed and shown to provide competitive performance regardless of computational budget.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Darrell F. Lochtefeld, Frank W. Ciarallo,