Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
An Evolutionary Immune Network for Data Clustering
SBRN '00 Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN'00)
A new classifier based on resource limited artificial immune systems
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Metaheuristics: From Design to Implementation
Metaheuristics: From Design to Implementation
Handbook of Metaheuristics
Clonal selection algorithms: a comparative case study using effective mutation potentials
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Applying the clonal selection principle to find flexible job-shop schedules
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Advances in artificial immune systems
IEEE Computational Intelligence Magazine
Channel assignment schemes for cellular mobile telecommunication systems: A comprehensive survey
IEEE Communications Surveys & Tutorials
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
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The constrained graph list multicolouring problem CGLMP is a generalised form of the graph colouring problem CGP. It is NP-hard combinatorial optimisation problem. In this paper, the CGLMP is used to solve the well-known frequency assignment problem FAP. The artificial immune system AIS has been proposed for solving several combinatorial optimisation problems. This paper presents a hybrid approach based on AIS combined to a local search for solving the CGLMP. To validate the implemented approach, many tests were carried out on academic benchmarks, and, an empirical adjustment of its parameters has been achieved. To improve the performance of this algorithm, a parallel implementation has been realised.