Self-Configuration of Network Services with Biologically Inspired Learning and Adaptation
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[1] Tatsuya Suda,et al. A middleware platform for a biologically inspired network architecture supporting autonomous and adaptive applications , 2005, IEEE Journal on Selected Areas in Communications.
[2] R. Braun,et al. Autonomic service configuration for telecommunication MASs with extended role-based GAIA and JADEx , 2005, Proceedings of ICSSSM '05. 2005 International Conference on Services Systems and Services Management, 2005..
[3] Christian Blum,et al. Metaheuristics in combinatorial optimization: Overview and conceptual comparison , 2003, CSUR.
[4] Robin Braun,et al. Autonomics in telecommunications service activation , 2005, Proceedings Autonomous Decentralized Systems, 2005. ISADS 2005..
[5] Alessio Vecchio,et al. An agent-based framework for nomadic computing , 1999, Proceedings 7th IEEE Workshop on Future Trends of Distributed Computing Systems.
[6] Klara Nahrstedt,et al. iPass: an incentive compatible auction scheme to enable packet forwarding service in MANET , 2004, 24th International Conference on Distributed Computing Systems, 2004. Proceedings..
[7] Stephen F. Bush,et al. Communications and Control—A Natural Linkage for SWARM , 2006, Journal of Network and Systems Management.
[8] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[9] David Sinreich,et al. An architectural blueprint for autonomic computing , 2006 .
[10] Marco Dorigo,et al. AntNet: Distributed Stigmergetic Control for Communications Networks , 1998, J. Artif. Intell. Res..
[11] Marco Dorigo,et al. Swarm intelligence: from natural to artificial systems , 1999 .
[12] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[13] Jeffrey O. Kephart,et al. The Vision of Autonomic Computing , 2003, Computer.
[14] Bryan Chi-ho Lam,et al. Progressive stochastic search for solving constraint satisfaction problems , 2003, Proceedings. 15th IEEE International Conference on Tools with Artificial Intelligence.
[15] John H. Holland,et al. Hidden Order: How Adaptation Builds Complexity , 1995 .
[16] Ramez Elmasri,et al. Optimizing clustering algorithm in mobile ad hoc networks using simulated annealing , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..
[17] Tatsuya Suda,et al. Self-organizing network services with evolutionary adaptation , 2005, IEEE Transactions on Neural Networks.
[18] R. Romero,et al. Tabu search algorithm for network synthesis , 2000 .
[19] P. Wardkein,et al. Topological communication network design using ant colony optimization , 2005, The 7th International Conference on Advanced Communication Technology, 2005, ICACT 2005..
[20] Manuel López-Ibáñez,et al. Ant colony optimization , 2010, GECCO '10.
[21] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[22] John R. Koza,et al. Hidden Order: How Adaptation Builds Complexity. , 1995, Artificial Life.
[23] Sartaj Sahni,et al. Simulated Annealing and Combinatorial Optimization , 1986, 23rd ACM/IEEE Design Automation Conference.
[24] John Hughes,et al. A biologically-inspired multi-agent framework for autonomic service management , 2006, Int. J. Pervasive Comput. Commun..
[25] Hikaru Suzuki,et al. Communication platform for service operations systems in advanced intelligent network , 1997, Proceedings of ICC'97 - International Conference on Communications.