%% Genetic Programming Bibliography %%$Revision: 1.1944 $ $Date: 2012/02/12 10:53:33 $ %%Created by W.B.Langdon cs.ucl.ac.nl January 1995 %%Based on J.Koza's GP bibliography of 14 March 1994 %% To add references to your papers see %% ftp://ftp.cs.bham.ac.uk/pub/authors/W.B.Langdon/biblio/ References [AA02] Alexandre P. Alves da Silva and Pedro Jose Abrao. Applications of evolutionary computation in electric power systems. In David B. Fogel, Mohamed A. El-Sharkawi, Xin Yao, Garry Greenwood, Hitoshi Iba, Paul Marrow, and Mark Shackleton, editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 1057--1062. IEEE Press, 12-17 May 2002. [AA04] J. Aguilar and J. Altamiranda. A data mining algorithm based on the genetic programming, 2004. [AA05] Wendy Ashlock and Dan Ashlock. Single parent genetic programming. In David Corne, Zbigniew Michalewicz, Marco Dorigo, Gusz Eiben, David Fogel, Carlos Fonseca, Garrison Greenwood, Tan Kay Chen, Guenther Raidl, Ali Zalzala, Simon Lucas, Ben Paechter, Jennifier Willies, Juan J. Merelo Guervos, Eugene Eberbach, Bob McKay, Alastair Channon, Ashutosh Tiwari, L. Gwenn Volkert, Dan Ashlock, and Marc Schoenauer, editors, Proceedings of the 2005 IEEE Congress on Evolutionary Computation, volume 2, pages 1172--1179, Edinburgh, UK, 2-5 September 2005. IEEE Press. [AA10] Ala' S. Al-Afeef. Image reconstructing in electrical capacitance tomography of manufacturing processes using genetic programming. Master's thesis, Al-Balqa Applied University, Al-Salt, Jordan, July 2010. [AAA08] Ali Aytek, M Asce, and Murat Alp. An application of artificial intelligence for rainfall-runoff modeling. Journal of Earth System Science, 117(2):145--155, April 2008. [AAA+09] M. Arvaneh, H. Ahmadi, A. Azemi, M. Shajiee, and Z. S. Dastgheib. Prediction of paroxysmal atrial fibrillation by dynamic modeling of the PR interval of ECG. In International Conference on Biomedical and Pharmaceutical Engineering, ICBPE '09, pages 1--5, 2-4 December 2009. [AACL99] John A. Atkinson-Abutridy and Julio R. Carrasco-Leon. An evolutionary model for dynamically controlling a behavior-based autonomous agent. In Scott Brave and Annie S. Wu, editors, Late Breaking Papers at the 1999 Genetic and Evolutionary Computation Conference, pages 16--24, Orlando, Florida, USA, 13 July 1999. [AAd+05] Abdel Latif Abu Dalhoum, Moh'd Al Zoubi, Marina de la Cruz, Alfonso Ortega, and Manuel Alfonseca. A genetic algorithm for solving the P-median problem. In J. Manuel Feliz Teixeira and A. E.Carvalho Brito, editors, European Simulation and Modeling Conference ESM'2005, pages 141--145, Porto, Portugal, October 24-26 2005. http://www.eurosis.org. [AAG11] Thomas Ackling, Bradley Alexander, and Ian Grunert. Evolving patches for software repair. In Natalio Krasnogor, Pier Luca Lanzi, Andries Engelbrecht, David Pelta, Carlos Gershenson, Giovanni Squillero, Alex Freitas, Marylyn Ritchie, Mike Preuss, Christian Gagne, Yew Soon Ong, Guenther Raidl, Marcus Gallager, Jose Lozano, Carlos Coello-Coello, Dario Landa Silva, Nikolaus Hansen, Silja Meyer-Nieberg, Jim Smith, Gus Eiben, Ester Bernado-Mansilla, Will Browne, Lee Spector, Tina Yu, Jeff Clune, Greg Hornby, Man-Leung Wong, Pierre Collet, Steve Gustafson, Jean-Paul Watson, Moshe Sipper, Simon Poulding, Gabriela Ochoa, Marc Schoenauer, Carsten Witt, and Anne Auger, editors, GECCO '11: Proceedings of the 13th annual conference on Genetic and evolutionary computation, pages 1427--1434, Dublin, Ireland, 12-16 July 2011. ACM. [AAGE11] Amir Hossein Alavi, Pejman Aminian, Amir Hossein Gandomi, and Milad Arab Esmaeili. Genetic-based modeling of uplift capacity of suction caissons. Expert Systems with Applications, In Press, Uncorrected Proof, 2011. [AAGM11] Amir Hossein Alavi, Mahmoud Ameri, Amir Hossein Gandomi, and Mohammad Reza Mirzahosseini. Formulation of flow number of asphalt mixes using a hybrid computational method. Construction and Building Materials, 25(3):1338--1355, March 2011. [AAK04] B. Ali, A. E. A. Almaini, and T. Kalganova. Evolutionary algorithms and theirs use in the design of sequential logic circuits. Genetic Programming and Evolvable Machines, 5(1), March 2004. [AAR+04] R. Muhammad Atif Azad, Ali R. Ansari, Conor Ryan, Michael Walsh, and Tim McGloughlin. An evolutionary approach to wall sheer stress prediction in a grafted artery. Applied Soft Computing, 4(2):139--148, May 2004. [AAS09] Dilip Ahalpara, Siddharth Arora, and M Santhanam. Genetic programming based approach for synchronization with parameter mismatches in EEG. In Leonardo Vanneschi, Steven Gustafson, Alberto Moraglio, Ivanoe De Falco, and Marc Ebner, editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481 of LNCS, pages 13--24, Tuebingen, April 15-17 2009. Springer. [AASAR10] Alaa Al-Afeef, Alaa F. Sheta, and Adnan Al-Rabea. Image reconstruction of a metal fill industrial process using genetic programming. In 10th International Conference on Intelligent Systems Design and Applications (ISDA), 2010, pages 12--17, Cairo, 29 November-1 December 2010. [AASR11] Alaa Al-Afeef, Alaa Sheta, and Adnan Rabea. Image Reconstruction of a Manufacturing Process: A Genetic Programming Approach. Lambert Academic Publishing, 1 edition, April 2011. [AAT03] A. F. Ashour, L. F. Alvarez, and V. V. Toropov. Empirical modelling of shear strength of RC deep beams by genetic programming. Computers and Structures, 81(5):331--338, March 2003. [AAZG10] H. Md. Azamathulla, Aminuddin Ab Ghani, Nor Azazi Zakaria, and Aytac Guven. Genetic programming to predict bridge pier scour. Journal of Hydraulic Engineering, 136(3):165--169, 2010. [AB98] M. Ahluwalia and L. Bull. Co-evolving functions in genetic programming: Dynamic ADF creation using GLiB. In V. William Porto, N. Saravanan, D. Waagen, and A. E. Eiben, editors, Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming, volume 1447 of LNCS, pages 809--818, Mission Valley Marriott, San Diego, California, USA, 25-27 March 1998. Springer-Verlag. [AB99a] Manu Ahluwalia and Larry Bull. Coevolving functions in genetic programming: Classification using K-nearest-neighbour. In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 947--952, Orlando, Florida, USA, 13-17 July 1999. Morgan Kaufmann. [AB99b] Manu Ahluwalia and Larry Bull. A genetic programming-based classifier system. In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference, volume 1, pages 11--18, Orlando, Florida, USA, 13-17 July 1999. Morgan Kaufmann. [AB00] Douglas A. Augusto and Helio J. C. Barbosa. Symbolic regression via genetic programming. In VI Brazilian Symposium on Neural Networks (SBRN'00), page 173, Rio de Janeiro, RJ, Brazil, January 22-25 2000. VI Simposio Brasileiro de Redes Neurais. [AB01] Manu Ahluwalia and Larry Bull. Coevolving functions in genetic programming. Journal of Systems Architecture, 47(7):573--585, July 2001. [AB03] Dan Ashlock and Kenneth M. Bryden. Thermal agents: An application of genetic programming to virtual engineering. In Ruhul Sarker, Robert Reynolds, Hussein Abbass, Kay Chen Tan, Bob McKay, Daryl Essam, and Tom Gedeon, editors, Proceedings of the 2003 Congress on Evolutionary Computation CEC2003, pages 1340--1347, Canberra, 8-12 December 2003. IEEE Press. [AB06] Daniel Ashlock and Kenneth M. Bryden. Function stacks, GBEAs, and crossover for the parity problem. In Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, editors, ANNIE 2006, Intelligent Engineering Systems through Artificial Neural Networks, volume 16, St. Louis, MO, USA, 2006. Part I: Evolutionary Computation. [AB10] Deepa Anand and K. K. Bharadwaj. Adaptive user similarity measures for recommender systems: A genetic programming approach. In 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2010), volume 8, pages 121--125, 9-11 July 2010. [ABA09] Wafa Abdelmalek, Sana Ben Hamida, and Fathi Abid. Selecting the best forecasting-implied volatility model using genetic programming. Journal of Applied Mathematics and Decision Sciences, 2009. [ABAG05] Daniel A. Ashlock, Kenneth M. Bryden, Wendy Ashlock, and Stephen P. Gent. Rapid training of thermal agents with single parent genetic programming. In David Corne, Zbigniew Michalewicz, Marco Dorigo, Gusz Eiben, David Fogel, Carlos Fonseca, Garrison Greenwood, Tan Kay Chen, Guenther Raidl, Ali Zalzala, Simon Lucas, Ben Paechter, Jennifier Willies, Juan J. Merelo Guervos, Eugene Eberbach, Bob McKay, Alastair Channon, Ashutosh Tiwari, L. Gwenn Volkert, Dan Ashlock, and Marc Schoenauer, editors, Proceedings of the 2005 IEEE Congress on Evolutionary Computation, volume 3, pages 2122--2129, Edinburgh, UK, 2-5 September 2005. IEEE Press. [Abb91] R. J. Abbott. Niches as a GA divide-and-conquer strategy. In Art Chapman and Leonard Myers, editors, Proceedings of the Second Annual AI Symposium for the California State University, pages 133--136. California State University, 1991. [Abb03] Russell J. Abbott. Object-oriented genetic programming, an initial implementation. In Procceedings of the Sixth International Conference on Computational Intelligence and Natural Computing, Embassy Suites Hotel and Conference Center, Cary, North Carolina USA, September 26-30 2003. [ABBB11] Douglas A. Augusto, Helio J. C. Barbosa, Andre M. S. Barreto, and Heder S. Bernardino. A new approach for generating numerical constants in grammatical evolution. In Natalio Krasnogor, Pier Luca Lanzi, Andries Engelbrecht, David Pelta, Carlos Gershenson, Giovanni Squillero, Alex Freitas, Marylyn Ritchie, Mike Preuss, Christian Gagne, Yew Soon Ong, Guenther Raidl, Marcus Gallager, Jose Lozano, Carlos Coello-Coello, Dario Landa Silva, Nikolaus Hansen, Silja Meyer-Nieberg, Jim Smith, Gus Eiben, Ester Bernado-Mansilla, Will Browne, Lee Spector, Tina Yu, Jeff Clune, Greg Hornby, Man-Leung Wong, Pierre Collet, Steve Gustafson, Jean-Paul Watson, Moshe Sipper, Simon Poulding, Gabriela Ochoa, Marc Schoenauer, Carsten Witt, and Anne Auger, editors, GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, pages 193--194, Dublin, Ireland, 12-16 July 2011. ACM. [ABC98] Giovanni Adorni, Federico Bergenti, and Stefano Cagnoni. A cellular-programming approach to pattern classification. In Wolfgang Banzhaf, Riccardo Poli, Marc Schoenauer, and Terence C. Fogarty, editors, Proceedings of the First European Workshop on Genetic Programming, volume 1391 of LNCS, pages 142--150, Paris, 14-15 April 1998. Springer-Verlag. [ABC04a] Daniel Ashlock, Kenneth Bryden, and Steven Corns. On taxonomy of evolutionary computation problems. In Proceedings of the 2004 IEEE Congress on Evolutionary Computation, volume 2, pages 1713--1719, Portland, Oregon, 20-23 June 2004. IEEE Press. [ABC+04b] Mathieu Autones, Aryel Beck, Phillippe Camacho, Nicolas Lassabe, Herve Luga, and Franccois Scharffe. Evaluation of chess position by modular neural network generated by genetic algorithm. In Maarten Keijzer, Una-May O'Reilly, Simon M. Lucas, Ernesto Costa, and Terence Soule, editors, Genetic Programming 7th European Conference, EuroGP 2004, Proceedings, volume 3003 of LNCS, pages 1--10, Coimbra, Portugal, 5-7 April 2004. Springer-Verlag. [ABC08] Daniel A. Ashlock, Kenneth M. Bryden, and Steven Corns. Small population effects and hybridization. In Jun Wang, editor, 2008 IEEE World Congress on Computational Intelligence, Hong Kong, 1-6 June 2008. IEEE Computational Intelligence Society, IEEE Press. [ABCS06] Daniel A. Ashlock, Kenneth M. Bryden, Steven Corns, and Justin Schonfeld. An updated taxonomy of evolutionary computation problems using graph-based evolutionary algorithms. In Gary G. Yen, Lipo Wang, Piero Bonissone, and Simon M. Lucas, editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 403--410, Vancouver, 6-21 July 2006. IEEE Press. [ABD+04] Mark P. Austin, Graham Bates, Michael A. H. Dempster, Vasco Leemans, and Stacy N. Williams. Adaptive systems for foreign exchange trading. Quantitative Finance, 4(4):37--45, August 2004. [Abd09] Hussein A. Abdou. Genetic programming for credit scoring: The case of egyptian public sector banks. Expert Systems with Applications, 36(9):11402--11417, 2009. [ABDW03] M. P. Austin, R. G. Bates, M. A. H. Dempster, and S. N. Williams. Adaptive systems for foreign exchange trading. Working paper WP 15/2003, Judge Institute of Management, University of Cambridge, UK, 2003. [ABDW04] Mark Austin, Graham Bates, Michael Dempster, and Stacy Williams. Adaptive systems for foreign exchange trading. Eclectic, 18:21--26, Autumn 2004. [Abe00] Neil Abernathy. Using a genetic algorithm to select beam configurations for radiosurgery of the brain. In John R. Koza, editor, Genetic Algorithms and Genetic Programming at Stanford 2000, pages 1--7. Stanford Bookstore, Stanford, California, 94305-3079 USA, June 2000. [ABE08] Douglas A. Augusto, Helio J. C. Barbosa, and Nelson F. F. Ebecken. Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classification. In Maarten Keijzer, Giuliano Antoniol, Clare Bates Congdon, Kalyanmoy Deb, Benjamin Doerr, Nikolaus Hansen, John H. Holmes, Gregory S. Hornby, Daniel Howard, James Kennedy, Sanjeev Kumar, Fernando G. Lobo, Julian Francis Miller, Jason Moore, Frank Neumann, Martin Pelikan, Jordan Pollack, Kumara Sastry, Kenneth Stanley, Adrian Stoica, El-Ghazali Talbi, and Ingo Wegener, editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1171--1178, Atlanta, GA, USA, 12-16 July 2008. ACM. [ABE10] Douglas Adriano Augusto, Helio Jose Correa Barbosa, and Nelson Francisco Favilla Ebecken. Coevolutionary multi-population genetic programming for data classification. In Juergen Branke, Martin Pelikan, Enrique Alba, Dirk V. Arnold, Josh Bongard, Anthony Brabazon, Juergen Branke, Martin V. Butz, Jeff Clune, Myra Cohen, Kalyanmoy Deb, Andries P Engelbrecht, Natalio Krasnogor, Julian F. Miller, Michael O'Neill, Kumara Sastry, Dirk Thierens, Jano van Hemert, Leonardo Vanneschi, and Carsten Witt, editors, GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 933--940, Portland, Oregon, USA, 7-11 July 2010. ACM. [ABF97a] Manu Ahluwalia, Larry Bull, and Terence C. Fogarty. Co-evolving functions in genetic programming: A comparison in ADF selection strategies. In John R. Koza, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max Garzon, Hitoshi Iba, and Rick L. Riolo, editors, Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 3--8, Stanford University, CA, USA, 13-16 July 1997. Morgan Kaufmann. [ABF97b] Manu Ahluwalia, Larry Bull, and Terence C. Fogarty. Co-evolving functions in genetic programming: An emergent approach using ADFs and GLiB. In John R. Koza, editor, Late Breaking Papers at the 1997 Genetic Programming Conference, pages 1--6, Stanford University, CA, USA, 13--16 July 1997. Stanford Bookstore. [ABG+09] Nur Merve Amil, Nicolas Bredeche, Christian Gagn'e, Sylvain Gelly, Marc Schoenauer, and Olivier Teytaud. A statistical learning perspective of genetic programming. In Leonardo Vanneschi, Steven Gustafson, Alberto Moraglio, Ivanoe De Falco, and Marc Ebner, editors, Proceedings of the 12th European Conference on Genetic Programming, EuroGP 2009, volume 5481 of LNCS, pages 327--338, Tuebingen, April 15-17 2009. Springer. [ABHK09] Sam Allen, Edmund K. Burke, Matthew R. Hyde, and Graham Kendall. Evolving reusable 3D packing heuristics with genetic programming. In Guenther Raidl, Franz Rothlauf, Giovanni Squillero, Rolf Drechsler, Thomas Stuetzle, Mauro Birattari, Clare Bates Congdon, Martin Middendorf, Christian Blum, Carlos Cotta, Peter Bosman, Joern Grahl, Joshua Knowles, David Corne, Hans-Georg Beyer, Ken Stanley, Julian F. Miller, Jano van Hemert, Tom Lenaerts, Marc Ebner, Jaume Bacardit, Michael O'Neill, Massimiliano Di Penta, Benjamin Doerr, Thomas Jansen, Riccardo Poli, and Enrique Alba, editors, GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 931--938, Montreal, 8-12 July 2009. ACM. [ABHPW10] Shaukat Ali, Lionel C. Briand, Hadi Hemmati, and Rajwinder K. Panesar-Walawege. A systematic review of the application and empirical investigation of search-based test-case generation. IEEE Transactions on Software Engineering, 36(6):742--762, November-December 2010. [ABI98a] Ricardo Aler, Daniel Borrajo, and Pedro Isasi. Evolved heuristics for planning. In V. William Porto, N. Saravanan, D. Waagen, and A. E. Eiben, editors, Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming, volume 1447 of LNCS, pages 745--754, Mission Valley Marriott, San Diego, California, USA, 25-27 March 1998. Springer-Verlag. [ABI98b] Ricardo Aler, Daniel Borrajo, and Pedro Isasi. Genetic programming and deductive-inductive learning: A multistrategy approach. In Jude Shavlik, editor, Proceedings of the Fifteenth International Conference on Machine Learning, ICML'98, pages 10--18, Madison, Wisconsin, USA, July 1998. Morgan Kaufmann. [ABI00a] Ricardo Aler, Daniel Borrajo, and Pedro Isasi. GP fitness functions to evolve heuristics for planning. In Martin Middendorf, editor, Evolutionary Methods for AI Planning, pages 189--195, Las Vegas, Nevada, USA, 8 July 2000. [ABI00b] Ricardo Aler, Daniel Borrajo, and Pedro Isasi. Knowledge representation issues in control knowledge learning. In Pat Langley, editor, Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), pages 1--8, Stanford University, Standord, CA, USA, June 29 - July 2 2000. Morgan Kaufmann. [ABI01a] Ricardo Aler, Daniel Borrajo, and Pedro Isasi. Grammars for learning control knowledge with GP. In Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, pages 1220--1227, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, 27-30 May 2001. IEEE Press. [ABI01b] Ricardo Aler, Daniel Borrajo, and Pedro Isasi. Learning to solve planning problems efficiently by means of genetic programming. Evolutionary Computation, 9(4):387--420, Winter 2001. [ABI02] Ricardo Aler, Daniel Borrajo, and Pedro Isasi. Using genetic programming to learn and improve control knowledge. Artificial Intelligence, 141(1-2):29--56, October 2002. [ABJ06] Daniel Ashlock, Kenneth M. Bryden, and Nathan G. Johnson. Evolvable threaded controllers for a multi-agent grid robot task. In Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark Embrechts, and Okan Ersoy, editors, ANNIE 2006, Intelligent Engineering Systems through Artificial Neural Networks, volume 16, St. Louis, MO, USA, 2006. [ABK96a] David Andre, Forrest H Bennett III, and John R. Koza. Discovery by genetic programming of a cellular automata rule that is better than any known rule for the majority classification problem. In John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 3--11, Stanford University, CA, USA, 28--31 July 1996. MIT Press. [ABK96b] David Andre, Forrest H Bennett III, and John R. Koza. Evolution of intricate long-distance communication signals in cellular automata using genetic programming. In Artificial Life V: Proceedings of the Fifth International Workshop on the Synthesis and Simulation of Living Systems, volume 1, Nara, Japan, 16--18 May 1996. MIT Press. [ABKK98] David Andre, Forrest H Bennett III, John Koza, and Martin A. Keane. On the theory of designing circuits using genetic programming and a minimum of domain knowledge. In Proceedings of the 1998 IEEE World Congress on Computational Intelligence, pages 130--135, Anchorage, Alaska, USA, 5-9 May 1998. IEEE Press. [ABL02] Davide Agnelli, Alessandro Bollini, and Luca Lombardi. Image classification: an evolutionary approach. Pattern Recognition Letters, 23(1-3):303--309, 2002. [ABLP03] Mauro Annunziato, Carlo Bruni, Matteo Lucchetti, and Stefano Pizzuti. Artificial life approach for continuous optimisation of non stationary dynamical systems. Integrated Computer-Aided Engineering, 10(2):111--125, 2003. [ABN94] Laurent Atlan, Jerome Bonnet, and Martine Naillon. Learning distributed reactive strategies by genetic programming for the general job shop problem. In Proceedings of the 7th annual Florida Artificial Intelligence Research Symposium, Pensacola, Florida, USA, May 1994. IEEE Press. [Abr00] Zoe Abrams. Complimentary selection as an alternative method for population reproduction. In John R. Koza, editor, Genetic Algorithms and Genetic Programming at Stanford 2000, pages 8--15. Stanford Bookstore, Stanford, California, 94305-3079 USA, June 2000. [Abr03] Ajith Abraham. Business intelligence from web usage mining. Journal of Information & Knowledge Management, 2(4):375--390, 2003. [Abr04a] Ajith Abraham. Business intelligence from web usage mining, May 06 2004. [Abr04b] Ajith Abraham. Evolutionary computation in intelligent network management. In Ashish Ghosh and Lakhmi C. Jain, editors, Evolutionary Computing in Data Mining, volume 163 of Studies in Fuzziness and Soft Computing, chapter 9, pages 189--210. Springer, 2004. [Abr08] Ajith Abraham. Real time intrusion prediction, detection and prevention programs. In IEEE International Conference on Intelligence and Security Informatics, ISI 2008, pages xli--xlii, June 2008. IEEE ISI 2008 Invited Talk (VI). [AC93a] M. Atkin and P. R. Cohen. Genetic programming to learn an agent's monitoring strategy. In Wei-Min Shen, editor, Proceedings of the AAAI-93 Workshop on Learning Action Models, pages 36--41. AAAI Press, 1993. [AC93b] M. Atkin and P. R. Cohen. Genetic programming to learn an agent's monitoring strategy. Technical report TR-93-26, Computer Science Department, University of Massachusetts, Amherst, MA, USA, 1993. [AC94] Marc S. Atkin and Paul R. Cohen. Learning monitoring strategies: A difficult genetic programming application. In Proceedings of the 1994 IEEE World Congress on Computational Intelligence, volume 1, pages 328--332a, Orlando, Florida, USA, 27-29 June 1994. IEEE Press. [AC95a] Marc S. Atkin and Paul R. Cohen. Monitoring in embedded agents. Computer Science Technical Report 95-66, Experimental Knowledge Systems Laboratory, Computer Science Department, University of Massachusetts, Box 34610, Lederle Graduate Research Center, Amherst. MA 01003-4610, USA, 1995. [AC95b] Marc S. Atkin and Paul R. Cohen. Monitoring strategies for embedded agents: Experiments and analysis. Adaptive Behavior, 4(2):125--172, Fall 1995. [AC98a] Jose L. Aguilar and Mariela Cerrada. Reliability-centered maintenance methodology-based fuzzy classifier system design for fault tolerance. In John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, and Rick Riolo, editors, Genetic Programming 1998: Proceedings of the Third Annual Conference, page 621, University of Wisconsin, Madison, Wisconsin, USA, 22-25 July 1998. Morgan Kaufmann. [AC98b] I. Ashiru and C. A. Czarnecki. Evolving communicating controllers for multiple mobile robot systems. Microprocessors and Microsystems, 21(6):393--402, 1998. [AC01a] Giovanni Adorni and Stefano Cagnoni. Design of explicitly or implicitly parallel low-resolution character recognition algorithms by means of genetic programming. In Rajkumar Roy, Mario K"oppen, Seppo Ovaska, Takeshi Furuhashi, and Frank Hoffmann, editors, Soft Computing and Industry Recent Applications, pages 387--398. Springer-Verlag, 10--24 September 2001. Published 2002. [AC01b] Jose Aguilar and Mariela Cerrada. Fuzzy classifier system and genetic programming on system identification problems. In Lee Spector, Erik D. Goodman, Annie Wu, W. B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pages 1245--1251, San Francisco, California, USA, 7-11 July 2001. Morgan Kaufmann. [AC01c] Jose Aguilar and Mariela Cerrada. Genetic programming-based approach for system identification applying genetic programming to obtain separation. In WSEAS NNA-FSFS-EC 2001, page paper ID number 640, Puerto De La Cruz, Tenerife, Spain, February 11-15 2001. [Aca08] Aybar C. Acar. Query Consolidation: Interpreting Queries Sent to Independent Heterogenous Databases. PhD thesis, The Volgenau School of Information Technology and Engineering, George Mason University, Fairfax, VA, USA, 23 July 2008. [ACB99] Arturo Hernandez Aguirre, Carlos A. Coello Coello, and Bill P. Buckles. A genetic programming approach to logic function synthesis by means of multiplexers. In Adrian Stoica, Didier Keymeulen, and Jason Lohn, editors, Proceedings of the The First NASA/DOD Workshop on Evolvable Hardware, pages 46--53, Pasadena, California, 19-21 July 1999. IEEE Computer Society. [ACCCSEA08] Eva Alfaro-Cid, Alberto Cuesta-Canada, Ken Sharman, and Anna Esparcia-Alcazar. Strong typing, variable reduction and bloat control for solving the bankruptcy prediction problem using genetic programming. In Anthony Brabazon and Michael O'Neill, editors, Natural Computing in Computational Finance, volume 100 of Studies in Computational Intelligence, chapter 9, pages 161--185. Springer, 2008. [ACCE+08] E. Alfaro-Cid, P. A. Castillo, A. Esparcia, K. Sharman, J. J. Merelo, A. Prieto, and J. L. J. Laredo. Comparing multiobjective evolutionary ensembles for minimizing type I and II errors for bankruptcy prediction. In Jun Wang, editor, 2008 IEEE World Congress on Computational Intelligence, pages 2902--2908, Hong Kong, 1-6 June 2008. IEEE Computational Intelligence Society, IEEE Press. [ACEAM+09a] Eva Alfaro-Cid, Anna Esparcia-Alcazar, Pilar Moya, J. J. Merelo, Beatriu Femenia-Ferrer, Ken Sharman, and Jaime Primo. Multiobjective genetic programming approach for a smooth modeling of the release kinetics of a pheromone dispenser. In Anna I. Esparcia, Ying ping Chen, Gabriela Ochoa, Ender Ozcan, Marc Schoenauer, Anne Auger, Hans-Georg Beyer, Nikolaus Hansen, Steffen Finck, Raymond Ros, Darrell Whitley, Garnett Wilson, Simon Harding, W. B. Langdon, Man Leung Wong, Laurence D. Merkle, Frank W. Moore, Sevan G. Ficici, William Rand, Rick Riolo, Nawwaf Kharma, William R. Buckley, Julian Miller, Kenneth Stanley, Jaume Bacardit, Will Browne, Jan Drugowitsch, Nicola Beume, Mike Preuss, Stephen L. Smith, Stefano Cagnoni, Jim DeLeo, Alexandru Floares, Aaron Baughman, Steven Gustafson, Maarten Keijzer, Arthur Kordon, Clare Bates Congdon, Laurence D. Merkle, and Frank W. 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