Title :
Using Differential Evolution for a Subclass of Graph Theory Problems
Author :
Greenwood, Garrison W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Portland State Univ., Portland, OR, USA
Abstract :
Conventional differential evolution algorithms explore continuous spaces. In contrast, NP-complete graph problems are combinatorial and thus have discrete solution spaces, many with solutions encoded as binary strings. This letter describes a simple method showing how a conventional differential evolution algorithm can be used to solve these types of graph theory problems. The method is deterministic and can handle graphs of arbitrary size.
Keywords :
combinatorial mathematics; graph theory; optimisation; NP-complete graph problem; binary string; conventional differential evolution algorithm; discrete solution space; graph theory; Differential evolution; NP-complete; graph theory;
Journal_Title :
Evolutionary Computation, IEEE Transactions on
DOI :
10.1109/TEVC.2009.2026000