(Last Update: 2001-11-22)

	Genetics and molecular biology   Shai Izraeli, Linda A. Lowe, Virginia L. Bertness, Deborah J. Good, David W. Dorward, Ilan R. Kirsch, Michael R. Kuehn. The SIL gene is required for mouse embryonic axial development and left-right specification. Nature Letters to Editor (17 Jun 1999) 399, 691 – 694 Prokaryotic Genetics and Gene Expression. in MIT Biology Hypertextbook. Department of Biology, MIT. http://esg-www.mit.edu:8001/esgbio/pge/pgedir.html Flam, F. "Hints of a language in junk DNA", Science 266:1320, 1994 David Jones. Daedalus: The meaning of junk. Nature News and Views (25 Oct 2001) 413, 792 – 792 Cell biology  H.R. Horvitz. Genetic Control of Programmed Cell Death in the Nematode Caenothabditis Elegans. in Apoptosis Edited by Enrico Mihich and Robert T. Schimke. Pezcoller Foundation Symposia 5. 1994 Plenum Press, New York. Aoton Gartner, Michael O. Hengartner. Genetic Approaches to programmed cell death in C. Elegans. in When Cells Die, Edited by R. A. Lockshin, Z. Zakeri and J.L. Tilly. 1998 Wiley-Liss, New York.  Xue, D., and H.R. Horvitz (1997) C. elegans CED-9 protein is a bifunctional cell-death inhibitor. Nature 390: 305-308.  John W. Kimball. Cell Biology. Addison-Wesley Publishing Company, 1978.
	Sociobiology and Behavior Genetics Edward O. Wilson. Sociobiology, the New Synthesis. 1975, The Belknap Press of Harvard Press. Genetic Altruism. http://www.essaybank.co.uk/word/798.doc Peter McGuffin, Brien Riley, Robert Plomin. Toward Behavioral Genomics. Science, Volume 291:1232-49, February 16, 2001 Eric J. Nestler, David Landsman. Learning about Addiction from the Genome. Nature, Volume 409:834-835, February 15, 2001 Joseph D. McInerney. Genes & Behavior: A complex relationship. Judicature, Volume 83, November - December 1999 Stephanie L. Sherman, John C. DeFries, Irving I. Gottesman, John C. Loehlin, Joanne M. Meyer, Mary Z. Pelias, John Rice, and Irwin Waldman BEHAVIORAL GENETICS '97: ASHG STATEMENT Recent Developments in Human Behavioral Genetics: Past Accomplishments and Future Directions. Am. J. Hum. Genet. 60:1265---1275, 1997  John Alcock. Animal Behavior: An Evolutionary Approach, Sixth Edition 1998 .Sinauer Associates, Inc. Sunderland, MA Eytan Avital, Eva Jablonka Animal Traditions: Behavioural Inheritance in Evolution. Cambridge University Press 2000. Cambridge, UK. Plomin, DeFries, McClearn and Rutter. BEHAVIORAL GENETICS, 3rd Edition. Freeman, 1997. Brown, J.L. 1975. The Evolution of Behavior. Norton, New York, New York Hay, D.A., 1985. Essentials of Behavior Genetics. Blackwell Scientific Publ. London.
	Strategy Evolution

1. Axwlord R. The Evolution of Cooperation. BasicBooks, Inc, 1984
2. Frans P. de Vries. The Behavioral Firm and its Internal Game: Evolutionary Dynamics of Decision Making (1999) Interim Report IR-99-036 International Institute for Applied Systems Analysis. http://citeseer.nj.nec.com/vries99behavioral.html
3. Thomas Haynes The Evolution of Multiagent Coordination Strategies. Adaptive Behavior. http://citeseer.nj.nec.com/48896.html
4. Thomas Haynes, Roger Wainwright, Sandip Sen. Evolving Cooperation Strategies (1994) ICMAS 95 http://citeseer.nj.nec.com/haynes94evolving.html 
5. Thomas Haynes, Sandip Sen, Dale Schoenefeld Roger Wainwright . Evolving Multiagent Coordination Strategies with Genetic Programming. http://citeseer.nj.nec.com/26626.html
6. Michael Waters, John Sheppard. Genetic Programming and Co-Evolution with Exogenous Fitness in an Artificial Life Environment. Proceedings of the Congress on Evolutionary Computation 1999. http://citeseer.nj.nec.com/25838.html
7. Koza, J., 1992. Genetic Evolution and Co-Evolution of Game Strategies. International Conference on Game Theory and Its Applications. http://citeseer.nj.nec.com/160265.html
8. John W. Sheppard. Co-Learning in Differential Games. Machine Learning, volume 33, number 2-3, pages 201-233. http://citeseer.nj.nec.com/132279.html 

　

Evolutionary Robotics

1. Nolfi S. and Floreano D. [2000]. Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. Cambridge, MA: MIT Press/Bradford Books.
2. I. Harvey, P. Husbands, D. Cliff. Issues in Evolutionary Robotics (1993) CSRP 219, July 1992 Cognitive Science. http://citeseer.nj.nec.com/2301.html
3. John F. Walker, James H. Oliver. A Survey of Artificial Life and Evolutionary Robotics (1997) http://citeseer.nj.nec.com/walker97survey.html 
4. Stefano Nolfi. Evolutionary Robotics: Exploiting the full power of self-organization (1998) Connection Science, 10 (3-4), special issue on BioRobotics. 
   http://citeseer.nj.nec.com/nolfi98evolutionary.html 
5. Henrik Hautop Lund John Hallam Wei-Po Lee. Evolving Robot Morphology. In Proceedings of IEEE Fourth International Conference on Evolutionary Computation, IEEE Press, NJ, 1997. http://citeseer.nj.nec.com/lund97evolving.html 
6. N. Jakobi, P. Husbands, and T. Smith. Robot space exploration by trial and error. In J.R. Koza, W. Banzhaf, K. Chellapilla, K. Deb, M. Dorigo, D.B. Fogel, M.H. Gazon, D.E. Goldberg, H. Iba, and R.L. Riolo, editors, Proceedings of the Third Annual Conference on Genetic Programming: GP98, pages 807-815. Morgan Kaufmann, 1998. 
   http://citeseer.nj.nec.com/context/526905/21556 
7. Joseba Urzelai, Dario Floreano Evolutionary Robotics: Coping with Environmental Change - Category: Evolutionary Robotics (ER) Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000) http://citeseer.nj.nec.com/267268.html 

　

Genetic Programming

1. John R. Koza. Genetic Programming(1997) Encyclopedia of Computer Science and Technology. http://citeseer.nj.nec.com/212034.html 
2. Koza, J.R., D. Andre, "Evolution of Iteration in Genetic Programming," Evolutionary Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming, Cambridge: The MIT Press. In Press. http://citeseer.nj.nec.com/153818.html 
3. Koza, John R. 1992. Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, MA: The MIT Press. 
4. Koza, John R. 1994a. Genetic Programming II: Automatic Discovery of Reusable Programs. Cambridge, MA: The MIT Press. 
5. Kinnear, Kenneth E. Jr. (editor). Advances in Genetic Programming. Cambridge, MA: The MIT Press. Angeline, Peter J. and Kinnear, Kenneth E. Jr. (editors). 1996. Advances in Genetic Programming 2. Cambridge, MA: The MIT Press.
6. Spector, Lee, Langdon, William B., O'Reilly, Una-May, and Angeline, Peter (editors). 1999. Advances in Genetic Programming 3. Cambridge, MA: The MIT Press.

　

Program Evolution

1. Michael Ernst, Jake Cockrell, William G. Griswold, and David Notkin. Dynamically Discovering Likely Program Invariants to Support Program Evolution. Proceedings of the 19th International Conference on Software Engineering (ICSE '99), Los Angeles, CA, May 19-21, 1999. http://citeseer.nj.nec.com/ernst99dynamically.html 
2. Christian Jacob. Evolution programs evolved. In Voigt et al. [1485], pages 42--51. 
   http://citeseer.nj.nec.com/jacob96evolution.html  
3. J. Koza. Genetic evolution and co-evolution of computer programs. In C. Langton, C. Taylor, J. Farmer, and S. Rasmussen, editors, Artificial Life II, pages 603--629. AddisonWesley, 1992. http://citeseer.nj.nec.com/177879.html  
4. J. Koza. Genetically breeding populations of computer programs to solve problems in artificial intelligence. In Proceedings of the Second Int. Conf.on Tools for AI, pages 819--827. IEEE Computer Society Press, 1990. http://citeseer.nj.nec.com/koza90genetically.html 
5. U. O'Reilly and F. Oppacher. An experimental perspective on genetic programming. In R. Manner and B. Manderick, editors, Parallel Problem Solving from Nature 2, pages 331--340. Elsevier Science Publishers B.V., 1992. http://citeseer.nj.nec.com/57278.html 
6. J. Koza. Genetic evolution and co-evolution of computer programs. In C. Langton, C. Taylor, J. Farmer, and S. Rasmussen, editors, Artificial Life II, pages 603--629. AddisonWesley, 1992. http://citeseer.nj.nec.com/177879.html 
7. Koza, J. R. 1991. Evolution and co-evolution of computer programs to control independently-acting agents. In Meyer, J. and Wilson, S., editors, From Animals to Animats. Proceedings of the First International Conference on Simulation of Adaptive Behavior. MIT Press, Cambridge, MA. http://citeseer.nj.nec.com/koza91evolution.html 
8. John R. Koza. Genetic programming as a means for programming computers by natural selection. Statistics and Computing, 4(2):87--112, June 1994. 
   http://citeseer.nj.nec.com/145594.html  
9. J. R. Koza and D. Andre, "Evolution of both architecture and the sequence of workperforming steps of a computer program using genetic programming with architecturealtering operations," (1995) in Advances in Genetic Programming II, P. Angeline and K. Kinnear (eds.), Cambridge, MA: MIT Press 
   http://citeseer.nj.nec.com/koza95evolution.html  
10. John R. Koza and David Andre. A case study where biology inspired a solution to a computer science problem. In ?, editor, Proceedings of the Pacific Symposium on Biocomputing (PSB'96), page ?, Hawaii, 3.-6. January 1996. ? http://citeseer.nj.nec.com/koza96case.html 
11. R. P. Salustowicz and J. Schmidhuber. Probabilistic incremental program evolution. Evolutionary Computation, 5(2):123--141, 1997. 
    http://citeseer.nj.nec.com/salustowicz97probabilistic.html  
12. Terence Soule, James A. Foster, and John Dickinson. Code growth in genetic programming. 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 215--223, Stanford University, CA, USA, 28--31July 1996. MIT Press. 
    http://citeseer.nj.nec.com/soule98code.html  
13. A. Teller and M. Veloso, "Program evolution for data mining," The International Journal of Expert Systems, vol. 8, pp. 216-- 236, 1995. http://citeseer.nj.nec.com/teller95program.html  
14. John R. Koza. Using Biology To Solve A Problem In Automated Machine Learning. (1996) Models of Action: Mechanisms for Adaptive Behavior edited by Clive Wynne and John Staddon for Lawrence Erlbaum Associates, Inc, Publishers. 
    http://citeseer.nj.nec.com/287912.html 

　

Hardware Evolution

1. Magnus Ekman. Hardware Evolution. Master Thesis. TietoEnator Embedded Tech AB Sweden. 2000-10-23 http://www.ce.chalmers.se/staff/mekman/MasterThesis.pdf  
2. Stuart J Flockton and Kevin Sheehan. Behavior of a Building Block for Intrinsic Evolution of Analogue Signal Shaping and Filtering Circuits. Proceedings of the The Second NASA/DoD Workshop on Evolvable Hardware (EH'00). http://www.sun.rhbnc.ac.uk/~uhap016/publications/nasa2000.pdf  
3. David Albert. Evolutionary Hardware Overview 1997 http://citeseer.nj.nec.com/201089.html  
4. Yao, X. and Higuchi, T.: `Promises and Challenges of Evolvable Hardware', International Conference on Evolvable Systems: From Biology to Hardware, Lecture Notes in Computer Science 1062, Springer Verlag, 1996, pp 55-78. http://citeseer.nj.nec.com/39781.html  
5. Yao, X.: Following the Path of Evolvable Hardware. Communication of the ACM. April 1999/Vol. 42, No.4, p. 47. http://citeseer.nj.nec.com/yao99following.html  
6. Thompson, A. (1996b). Silicon evolution. In Koza, J. R., editor, Proc. Genetic Programming (96), pages 444--452. MIT Press. http://citeseer.nj.nec.com/adrian96silicon.html  

　

GA and Behavior Evolution

1. D. dumitrescu, B. Lazzerini, L.C. Jain, and A. Dumitrescu, evolutionary computation, the CRC press, international series on computational intelligence, 2000
2. Justinian P. Rosca, Dana H. Ballard. Evolution-based Discovery of Hierarchical Behaviors (1996) Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96) http://citeseer.nj.nec.com/rosca96evolutionbased.html 
3. John R. Koza. Evolution of Emergent Cooperative Behavior using Genetic Programming. Computing with Biological Metaphors. http://citeseer.nj.nec.com/194791.html  
4. Inman Harvey. The Artificial Evolution of Adaptive Behaviour (1995) 
   http://citeseer.nj.nec.com/harvey95artificial.html 
5. Inman Harvey. The Artificial Evolution of Adaptive Behaviour. PhD thesis, University of Sussex. 1993 ftp://ftp.cogs.susx.ac.uk/pub/users/inmanh/thesis.ps.gz  

　

Agent Evolution

1. J. William Murdock .A Theory of Reflective Agent Evolution. 
   http://citeseer.nj.nec.com/376950.html 
2. Chern Han Yong. Cooperative Coevolution of Multi-Agent Systems..
   http://citeseer.nj.nec.com/442058.html  
3. Qureshi, A. (1996), "Evolving agents," in Genetic Programming 1996: Proceedings of the First Annual Conference, J. R. Koza, D. E. Goldberg, D. B. Fogel, and R. L. Riolo (Eds.), pp 369--374, Stanford University, CA, USA: MIT Press. 
   http://citeseer.nj.nec.com/qureshi96evolving.html 

　

Information Filtering by Genetic Algorithm

1. Alexios Chouchoulas. A Genetic Algorithm Based Information Filter for Usenet 
   http://citeseer.nj.nec.com/438960.html
2. Scott Ferguson. BEAGLE: A Genetic Algorithm for Information Filter Profile Creation http://www.cis.uab.edu/info/alumni/sf/Papers/CS692.report.html  
3. Beerud Sheth. A Learning Approach to Personalized Information Filtering, M.S. Thesis, Massachusetts Institute of Technology, 1994. 
   http://agents.www.media.mit.edu/groups/agents/papers/newt-thesis/main.html  
4. Scott Ferguson.. Information Filtering Profile Generation Using Genetic Algorithms and Co-Adaptation http://www.cis.uab.edu/info/alumni/sf/Papers/chaptoc.html  
5. Alexandros Moukas. Amalthaea: Information Discovery and Filtering using a Multiagent Evolving Ecosystem, Proceedings of the Conference on Practical Application of Intelligent Agents and Multi-Agent Technology, London, 1996. 
   http://moux.www.media.mit.edu/people/moux/papers/PAAM96/  
6. Filippo Menczer, Richard K. Belew. Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web 
   http://citeseer.nj.nec.com/menczer99adaptive.html  
7. Alexandros Moukas. Amalthaea: Information Filtering and Discovery Using A Multiagent Evolving System (1997) Proceedings of the Conference on Practical Applications of Agents and Multiagent Technology http://citeseer.nj.nec.com/421895.html  
8. Alexandros Moukas, Giorgos Zacharia. Evolving a Multi-agent Information Filtering Solution in Amalthaea (1997) Proceedings of the First International Conference on Autonomous Agents (Agents'97) http://citeseer.nj.nec.com/moukas97evolving.html 
9. Alexandros Moukas, Pattie Maes. Amalthaea: An Evolving Multi-Agent Information Filtering and Discovery System for the WWW (1998) Autonomous Agents and Multi-Agent Systems http://citeseer.nj.nec.com/moukas98amalthaea.html  

　

Interactive Evolution

1. Banzhaf, W. (1997). Interactive evolution. In Back, T., Fogel, D. B., and Michalewicz, Z., editors, Handbook of Evolutionary Computation. IOP Publishing. 
   http://citeseer.nj.nec.com/banzhaf97interactive.html
2. Learning User Interest Dynamics with a Three-Descriptor Representation (Correct) 
   Dwi H. Widyantoro, Thomas R. Ioerger, John Yen
   Journal of the American Society of Information Science
   http://citeseer.nj.nec.com/379384.html
3. Extraction of User's Interests from Web Pages. 
   http://www.intlab.soka.ac.jp/~matsumi/document/research/paper/matsumi-ipsj-ics108e.ps  
   

　

Protein Analysis with GA

1. John R. Koza. Evolution of a Computer Program for Classifying Protein Segments as Transmembrane Domains Using Genetic Programming. Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology. http://citeseer.nj.nec.com/55449.html 
2. John R. Koza. Recognizing patterns in protein sequences using iteration-performing calculations in genetic programming. In Proceedings of the First IEEE Conference on Evolutionary Computation [125], pages 244--249. http://citeseer.nj.nec.com/38384.html
3. Koza, John R. and Andre, David. 1996b. Automatic discovery of protein motifs using genetic programming. In Yao, Xin (editor). 1996. Evolutionary Computation: Theory and Applications. Singapore: World Scientific. http://citeseer.nj.nec.com/2158.html
4. John R. Koza. Using Programmatic Motifs and Genetic Programming to Classify Protein Sequences as to Cellular Location Evolutionary Programming VII: Proceedings of the Seventh Annual Conference on Evolutionary Programming. http://citeseer.nj.nec.com/137692.html 
5. John R. Koza. Automatic Discovery Using Genetic Programming of an Unknown-Sized Detector of Protein Motifs Containing Repeatedly-Used Subexpressions. Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications. http://citeseer.nj.nec.com/83080.html 
6. John R. Koza, F. H. Bennett, and David Andre. Classifying proteins as extracellular using programming motifs and genetic programming. In Proceedings of the 1998 IEEE International Conference on Evolutionary Computation, volume ?, pages 212--217, Anchorage, AK (USA), 4.-9. May 1998. IEEE, New York, NY  http://citeseer.nj.nec.com/koza98classifying.html
7. John R. Koza, David Andre. Classifying Protein Segments as Transmembrane Domains Using Architecture-Altering Operations in Genetic Programming. Version 5 – Chapter 8 – November 14, 1995 for Advances in Genetic Programming II (1996) edited by Peter J. Angeline and Kenneth E. Kinnear, Jr. http://citeseer.nj.nec.com/koza95classifying.html 

　

Other

1. 徐传明. 数控编程通用后置处理器的开发研究 合肥工业大学硕士学位论文 2001 [Xu Chuanming, The Development and Research on General Postprocessor of NC Programming, Master thesis, Hefei university of technology, 2001 ]

General Genetic Algorithm http://www.geneticprogramming.com/index.html in Java http://www.aridolan.com/ga/gaa/gaa.html http://cs.felk.cvut.cz/~xobitko/ga/ http://www4.ncsu.edu/eos/users/d/dhloughl/public/stable.htm in Basic http://www.systemtechnik.tu-ilmenau.de/