New methods to color the vertices of a graph
Communications of the ACM
A hybrid immune algorithm with information gain for the graph coloring problem
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Applying the clonal selection principle to find flexible job-shop schedules
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
Hi-index | 0.00 |
This paper presents a parallel artificial immune system designed for graph coloring. The algorithm is based on the clonal selection principle. Each processor operates on its own pool of antibodies and a migration mechanism is used to allow processors to exchange information. Experimental results show that migration improves the performance of the algorithm. The experiments were performed using a high performance cluster on a set of well-established graph instances available on the Web.