Title of article :
Viral systems: A new bio-inspired optimisation approach
Author/Authors :
Pablo Cortés، نويسنده , , José M. Garc?، نويسنده , , Jes?s Munuzuri، نويسنده , , Luis Onieva، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2008
Abstract :
2840-2860
The paper presents a new approach to deal with combinatorial problems. It makes use of a biological analogy inspired by the performance of viruses. The replication mechanism, as well as the hosts’ infection processes is used to generate a metaheuristic that allows the obtention of valuable results. The viral system (VS) theoretical context is described and it is applied to a library of medium-to-large-sized cases of the Steiner problem for which the optimal solution is known. The method is compared with the metaheuristics that have provided the best results for the Steiner problem. The VS provides better solutions than genetic algorithms and certain tabu search approaches. For the most sophisticated tabu search approaches (the best metaheuristic approximations to the Steiner problem solution) VS provides solutions of similar quality.
Keywords :
Metaheuristic , Artificial intelligence , Steiner tree , Virus , Optimisation
Journal title :
Computers and Operations Research
Journal title :
Computers and Operations Research