New Generation Computing

, Volume 29, Issue 2, pp 125–128 | Cite as

Special Issue: Bio-Inspired Optimization Techniques for High Performance Computing

Preface

Keywords

Bio-inspired Algorithms Optimization Swarm Intelligence Ant Colony Optimization Parallel and Distributed Algorithms 

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References

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    Dorigo, M., Bonabeau, E. and Theraulaz, G., “Ant algorithms and stigmergy,” Future Generation Computer Systems, 16, 9, pp. 851–871, 2000.CrossRefGoogle Scholar
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    Folino, G., Mastroianni, C., Fragopoulou, P. and Suzuki, J. eds., 2nd Workshop on Bio-Inspired and Self-* Algorithms for Distributed Systems, ACM, June 2010.Google Scholar
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    Folino, G. and Spezzano, G., “An autonomic tool for building self organizing grid-enabled applications,” Future Generation Comp. Syst., 23, 5, pp. 671–679, 2007.CrossRefGoogle Scholar
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    Forestiero, A., Mastroianni, C. and Spezzano, G., “So-grid: A self organizing grid featuring bio-inspired algorithms,” TAAS, 3, 2, 2008.Google Scholar
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    Kennedy, J. and Eberhart, R., “Particle swarm optimization,” in Neural Networks, 1995. Proc., IEEE International Conference on, 4, pp. 1942–1948, August 2002.Google Scholar

Copyright information

© Ohmsha and Springer Japan jointly hold copyright of the journal. 2011

Authors and Affiliations

  1. 1.ICAR-CNRRende(CS)Italy

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