@inproceedings{6d2b0254805342cd9faa712ed9f928d3,
title = "Evolutionary algorithms and dynamic programming",
abstract = "Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled by evolutionary algorithms that use a representation, which enables them to construct solutions in a dynamic programming fashion. We take a general approach and relate the construction of such algorithms to the development of algorithms using dynamic programming techniques. Thereby, we give general guidelines on how to develop evolutionary algorithms that have the additional ability of carrying out dynamic programming steps.",
keywords = "Combinatorial optimization, Dynamic programming, Evolutionary algorithms",
author = "Benjamin Doerr and Anton Eremeev and Christian Horoba and Frank Neumann and Madeleine Theile",
year = "2009",
month = dec,
day = "31",
doi = "10.1145/1569901.1570008",
language = "English",
isbn = "9781605583259",
series = "Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009",
pages = "771--777",
booktitle = "Proceedings of the 11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009",
note = "11th Annual Genetic and Evolutionary Computation Conference, GECCO-2009 ; Conference date: 08-07-2009 Through 12-07-2009",
}