Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
475974 | Computers & Operations Research | 2008 | 10 Pages |
Abstract
Evolutionary algorithms are randomized search heuristics, which are applied to problems whose structure is not well understood, as well as to problems in combinatorial optimization. They have successfully been applied to different kinds of arc routing problems. To start the analysis of evolutionary algorithms with respect to the expected optimization time on these problems, we consider the Eulerian cycle problem. We show that a variant of the well-known (1+1)(1+1) EA working on the important encoding of permutations is able to find an Eulerian tour of an Eulerian graph in expected polynomial time. Altering the operator used for mutation in the considered algorithm, the expected optimization time changes from polynomial to exponential.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Frank Neumann,