Artificial immune systems (AIS) are algorithms that are based on the structure and mechanisms of the vertebrate immune system. Clonal selection is a process that allows lymphocytes to launch a quick response to known pathogens and to adapt to new, previously unencountered ones. This paper presents a parallel island model algorithm based on the clonal selection principles for solving the Graph Coloring Problem. The performance of the algorithm over a set of well-established benchmark graphs and random graphs is compared with a parallel Tabu Search algorithm.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1109/ipdps.2008.4536374
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2008
