I never see what has been done; I only see what remains to be done -- Marie Curie

           

 


 

Selected Publications of Ajith Abraham  - Peer Reviewed Book Chapters

 

  1. Ajith Abraham and Crina Grosan, Pharmaceutical Drug Design Using Dynamic Connectionist Ensemble Networks, Studies in Computational Intelligence, Springer Verlag, Germany, 2008.

  2. Ajith Abraham, Hongbo Liu and Mingyan Zhao, Particle Swarm Scheduling for Work-Flow Applications in Distributed Computing Environments, Metaheuristics for Scheduling: Industrial and Manufacturing Applications, Studies in Computational Intelligence, Springer Verlag, Germany, 2008.

  3. Aboul ella Hassanien, Mariofanna Milanova, Tomasz Smolinski and Ajith Abraham, Computational Intelligence in Solving Bioinformatics Problems: Reviews, Perspectives and Challenges,  Applications of Computational Intelligence in Bioinformatics and Biomedicine: Current Trends and Open Problems,  Studies in Computational Intelligence, Springer Verlag, Germany, 2008.

  4. Aboul ella Hassanien, Ajith Abraham, James Peters and Janusz Kacprzyk, Rough Sets in Medical Imaging: Foundations and Trends, Computational Intelligence in Medical Imaging: Techniques and Applications, G. Schaefer et al. (Eds.), CRC Press, USA, 2008.

  5. Aboul ella Hassanien, Ajith Abraham, Janusz Kacprzyk and James Peters, Computational Intelligence in Multimedia Processing: Foundations and Trends, Computational Intelligence in Multimedia Processing, Aboul-Ella Hassanien et al. (Eds.), Springer Verlag, Germany, 2008.

  6. Arijit Bhattacharya, Ajith Abraham and Pandian Vasant, Flexible Manufacturing System Selection under Disparate Level-of-Satisfaction of Decision Maker using Intelligent Fuzzy - Multi Criteria Decision Making Model, Studies in Fuzziness and Soft Computing, Kahraman, Cengiz (Ed.),  2008.

  7. Pandian Vasant, Arijit Bhattacharya and Ajith Abraham, Measurement of Level-of-Satisfaction of Decision Maker in Intelligent Fuzzy-- Multi Criteria Decision Making Theory: A Generalized Approach,Studies in Fuzziness and Soft Computing, Kahraman, Cengiz (Ed.), 2008.

  8. Ajith Abraham, Pandian Vasant and Arijit Bhattacharya, Neuro-fuzzy Approximation to Multi-Criteria Decision Making Quality Function Deployment Methodology, Studies in Fuzziness and Soft Computing, Kahraman, Cengiz (Ed.),  2008.

  9. Swagatam Das, Ajith Abraham and Amit Konar, Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives, Advances of Computational Intelligence in Industrial Systems, Ying Liu et al. (Eds.), Studies in Computational Intelligence, Springer Verlag, Germany, ISBN 978-3-540-78296-4, pp. 1-38, 2008.

  10. Ajith Abraham and Crina Grosan, Engineering Evolutionary Intelligent Systems: Methodologies, Architectures and Reviews, Engineering Evolutionary Intelligent Systems, Studies in Computational Intelligence,  Springer Verlag, Germany, ISBN 978-3-540-75395-7, pp. 1-22, 2008.

  11. Swagatam Das, Ajith Abraham and Amit Konar, Swarm Intelligence Algorithms in Bioinformatics, Computational Intelligence in Bioinformatics, Arpad Kelemen et al. (Eds.), Springer Verlag, Germany, ISBN: 978-3-540-76802-9, pp. 113-147, 2008.

  12. Ajith Abraham, Swagatam Das and Sandip Roy, Swarm Intelligence Algorithms for Data Clustering, Soft Computing for Knowledge Discovery and Data Mining, Oded Maimon and Lior Rokach (Eds.), Springer Verlag, Germany, ISBN 978-0-387-69934-9, pp. 279-313, 2007.

  13. Crina Grosan and Ajith Abraham, Hybrid Evolutionary Algorithms: Methodologies, Architectures and Reviews, Hybrid Evolutionary Algorithms, Studies in Computational Intelligence, C. Grosan et al. (Eds.), Vol. 75, Springer Verlag, Germany, ISBN 978-3-540-73296-9, pp. 1-17, 2007.

  14. Dong-Hwa Kim, Ajith Abraham and Kaoru Hirota, Hybrid Genetic Algorithm and Bacterial Foraging Approach for Function Optimization and Robust Tuning of PID Controller with Disturbance Rejection, Hybrid Evolutionary Algorithms, C. Grosan et al. (Eds.), Studies in Computational Intelligence, Volume 75, Springer Verlag, Germany, ISBN 978-3-540-73296-9, pp. 171-199, 2007.

  15. Dong-Hwa Kim and Ajith Abraham, Hybrid Genetic Algorithm- Particle Swarm Approach for Function Optimization, Hybrid Evolutionary Algorithms, C. Grosan et al. (Eds.), Studies in Computational Intelligence, Vol. 75, Springer Verlag, Germany,  ISBN 978-3-540-73296-9, pp. 147-170, 2007.

  16. Crina Grosan, Ajith Abraham and Monica Chis, Swarm Intelligence in Data Mining, Swarm Intelligence and Data Mining, A. Abraham, C. Grosan  and V. Ramos (Eds.), Studies in Computational Intelligence, Springer Verlag, Germany, ISBN 3-540-34955-3, pp. 1-20, 2006.

  17. Crina Grosan and Ajith Abraham, Stigmergic Optimization: Inspiration, Technologies and Perspectives, A. Abraham, C. Grosan  and V. Ramos (Eds.), Studies in Computational Intelligence, Springer Verlag, Germany,ISBN: 3-540-34689-9, pp. 1-24, 2006.

  18. Ajith Abraham, He Guo and Hongbo Liu, Swarm Intelligence: Foundations, Perspectives and Applications, Swarm Intelligent Systems, Nadia Nedjah and Luiza Mourelle (Eds.), Studies in Computational Intelligence, Springer Verlag, Germany, pp. 3-25, 2006.

  19. Yuehui Chen and Ajith Abraham, Hybrid Learning Methods for Stock Index Modeling, Artificial Neural Networks in Finance, Health and Manufacturing: Potential and Challenges, J. Kamruzzaman, R. K. Begg and R. A. Sarker (Eds.), Idea Group Inc. Publishers, USA, 2006.

  20. Cong Tran, Ajith Abraham and Lakhmi Jain, Soft Computing Paradigms for Modeling Decision Support Systems, Advances in Applied Artificial Intelligence, John Fulcher (Ed.), Idea Group Inc. Publishers, USA,  Chapter 1, pp. 1-28, 2006.

  21. Ajith Abraham, Nadia Nedjah, and Luiza Mourelle, Evolutionary Computation: From Genetic Algorithms to Genetic Programming, Nadia Nedjah et al. (Eds.), Studies in Computational Intelligence, Springer Verlag Germany, ISBN: 3-540-29849-5, pp. 1-20, 2006.

  22. Ajith Abraham and Crina Grosan, Evolving Intrusion Detection Systems, Genetic Systems Programming, Nadia Nedjah et al. (Eds.), Studies in Computational Intelligence, Springer Verlag Germany, ISBN: 3-540-29849-5, pp. 57-79, 2006.

  23. Crina Grosan and Ajith Abraham, Stock Market Modeling Using Genetic Programming Ensembles, Genetic Systems Programming, Nadia Nedjah et al. (Eds.), Studies in Computational Intelligence, Springer Verlag Germany, ISBN: 3-540-29849-5, pp. 131-146, 2006.

  24. Srinivas Mukkamala, Andrew Sung, Ajith Abraham and Vitorino Ramos, Intrusion Detection Systems Using Adaptive Regression Splines. 6th International Conference on Enterprise Information Systems, ICEIS'04, Portugal, Enterprise Information Systems VI , Seruca, I.; Cordeiro, J.; Hammoudi, S.; Filipe, J. (Eds.) Springer-Verlag, ISBN: 1-4020-3674-4, pp. 211-218, 2006.

  25. Srinivas Mukkamala, Andrew Sung and Ajith Abraham, Cyber Security Challenges: Designing Efficient Intrusion Detection Systems and Antivirus Tools, Enhancing Computer Security with Smart Technology, Rao Vemuri (Ed.), CRC Press, USA,  ISBN 0849330459,  pp. 125 -161, 2005.

  26. Ajith Abraham, Hybrid Intelligent Systems: Evolving Intelligence in Hierarchical Layers, Do Smart Adaptive Systems Exist? Best Practice for Selection and Combination of Intelligent Methods, Bogdan Gabrys, Kauko Leiviska and Jens Strackeljan (Eds.), Studies in Fuzziness and Soft Computing, Vol. 173, Springer Verlag Germany, ISBN: 3-540-24077-2, Chapter 8, pp. 159-169, 2005.

  27. Ajith Abraham and Ravi Jain, Soft Computing Approach for Modeling Intrusion Detection Systems, Classification and Clustering for Knowledge Discovery, Saman Halgamuge and Lipo Wang (Eds.), Studies in Computational Intelligence, Vol. 4, Springer Verlag Germany, ISBN: 3-540-26073-0, Chapter 13, pp. 187-204, 2005.

  28. Xiaozhe Wang, Ajith Abraham and Kate A. Smith, Soft Computing Paradigms for Web Access Pattern Analysis, Soft Computing in Knowledge Discovery Methods and Applications, Saman Halgamuge and Lipo Wang (Eds.),  Studies in Computational Intelligence, Vol. 4, Springer Verlag Germany, ISBN: 3-540-26073-0, Chapter 15, pp. 231-248, 2005.

  29. Ajith Abraham and Lakhmi Jain, Evolutionary Multiobjective Optimization, Evolutionary Multiobjective Optimization: Theoretical Advances and Applications, Abraham A., Jain L.C. and Goldberg R. (Eds.), Springer Verlag, London, Chapter 1, pp. 1-9, 2005.

  30. Andy Auyeung and Ajith Abraham, Role of Simulated Evolution in Bioinformatics, Evolutionary Machine Design: Methodology and Applications, Nadia Nedjah and Luiza Mourelle (Eds.), Nova Publishers, USA, ISBN: 1-59454-405-0, Chapter 4, pp. 197-219,  2005.

  31. Ajith Abraham and Johnson Thomas, Distributed Intrusion Detection Systems: A Computational Intelligence Approach, Applications of Information Systems to Homeland Security and Defense, Abbass H.A. and Essam D. (Eds.), Idea Group Inc. Publishers, USA, Chapter 5, pp. 105-135, 2005.

  32. Ajith Abraham, Hybrid Soft and Hard Computing Based Forex Monitoring Systems, Fuzzy System Engineering: Theory and Practice, Nadia Nedjah et al. (Eds.), Studies in Fuzziness and Soft Computing, Springer Verlag Germany, ISBN 3-540-25322-X, Chapter 6, pp. 113- 129, 2005.

  33. Ajith Abraham, Adaptation of Fuzzy Inference System Using Neural Learning, Fuzzy System Engineering: Theory and Practice, Nadia Nedjah et al. (Eds.), Studies in Fuzziness and Soft Computing, Springer Verlag Germany, ISBN 3-540-25322-X, Chapter 3, pp. 53-83, 2005.

  34. Ajith Abraham, Nature and Scope of AI Techniques, Handbook for Measurement Systems Design, Peter Sydenham and Richard Thorn (Eds.), John Wiley and Sons Ltd., London, ISBN 0-470-02143-8, pp. 893-900, 2005. 

  35. Ajith Abraham, Artificial Neural Networks, Handbook for Measurement Systems Design, Peter Sydenham and Richard Thorn (Eds.), John Wiley and Sons Ltd., London, ISBN 0-470-02143-8, pp. 901-908, 2005.

  36. Ajith Abraham, Rule Based Expert Systems, Handbook for Measurement Systems Design, Peter Sydenham and Richard Thorn (Eds.), John Wiley and Sons Ltd., London, ISBN 0-470-02143-8, pp. 909-919, 2005. 

  37. Ajith Abraham, Evolutionary Computation, Handbook for Measurement Systems Design, Peter Sydenham and Richard Thorn (Eds.), John Wiley and Sons Ltd., London, ISBN 0-470-02143-8, pp. 920-931, 2005.

  38. Ajith Abraham, World Wide Web Usage Mining, Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing, Seppo Ovaska (Ed.), John Wiley & Sons Inc. and IEEE Press, ISBN 0471476684, Chapter 11, pp. 363 -396, 2004.

  39. Ajith Abraham, Evolutionary Computation in Intelligent Web Management, Evolutionary Computing in Data Mining, Ashish Ghosh and Lakhmi Jain (Eds.), Studies in Fuzziness and Soft Computing, Springer Verlag Germany, ISBN 3540223703, Chapter 8, pp. 189-210, 2004.

  40. Ajith Abraham, Web Usage Mining: Business Intelligence from Web Logs, Computational Web Intelligence: Intelligent Technology for Web Applications, Yanqing Zhang, Abraham Kandel, T.Y. Lin and Yiji Yao (Eds.), ISBN 9812388273, World Scientific Publishing Co, Singapore, Chapter 12, pp. 229-256, 2004.

  41. Ajith Abraham and Muhammad Riaz Khan, Neuro-Fuzzy Paradigms for Intelligent Energy Management, Innovations in Intelligent Systems: Design, Management and Applications, Abraham A., Jain L. and Jan van der Zwaag B. (Eds.), Studies in Fuzziness and Soft Computing, Springer Verlag Germany, ISBN 354020265X, Chapter 12, pp. 285-314, 2003.

  42. Ajith Abraham, Intelligent Systems: Architectures and Perspectives, Recent Advances in Intelligent Paradigms and Applications, Abraham A., Jain L. and Kacprzyk J. (Eds.), Studies in Fuzziness and Soft Computing, Springer Verlag Germany, ISBN 3790815381, Chapter 1, pp. 1-35, 2002.

 

 

  

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