Some papers and books to choose from (Other suggestions welcome)
| Topic | Reference |
| Coevolution | Hillis, W. D. (1992). Co-evolving parasites improve simulated evolution as an optimization procedure. In Langton, C. et al. (Eds.), Artificial Life II. Addison Wesley |
| Evolutionary Dynamics | R. Axelrod (1987) The Evolution of strategies in the iterated prisoners dilemma, Genetic algorithms and simulated annealing, 1987 |
| Evolutionary Robotics | K.Sims, "Evolving Virtual Creatures" Computer Graphics (Siggraph '94 Proceedings), July 1994, pp.15-22, and K.Sims, "Evolving 3D Morphology and Behavior by Competition"Artificial Life IV Proceedings, ed.by Brooks & Maes, MIT Press, 1994, pp.28-39. |
| Artificial Life | Ray, T. S. (1991) An approach to the synthesis of life. [Tierra] In Artificial Life II, SFI Studies in the Sciences of Complexity, vol. X, edited by C. G. Langton, C. Taylor, J. D. Farmer, & S. Rasmussen, Addison-Wesley, 371--408 |
| Modularity | Wagner, G.P. and L. Altenberg 1996. Complex adaptations and the evolution of evolvability. Evolution 50:967-976. |
| Hierarchy, Modularity | Koza J., (1989) "Hierarchical genetic algorithms operating on populations of computer programs", 11th Int. joint conference on genetic algorithms, pp. 768-774. |
| Artificial Life | Bedau, "Three Illustrations of Artificial Life's Working Hypothesis", |
| Linkage | Goldberg, D., Korb, B., and Deb, K. (1989). Messy Genetic Algorithms: Motivation, Analysis, and First Results. Complex Systems, 4:415--444 |
| Selection Methods, Dynamics | Ficici, Sevan G., Melnik, Ofer and Pollack, Jordan B. (2000). A Game-Theoretic Investigation of Selection Methods Used in Evolutionary Algorithms. Proceedings of the 2000 Congress on Evolutionary Computation, A. Zalzala, et al, (eds.), IEEE Press, 2000 |
| Niching Methods | Mahfoud, S. W., & Goldberg, D. E. (1995). A comparison of parallel and sequential niching methods. In ICGA 6. 136-14. See also Mahfoud, S. W., Niching Methods for Genetic Algorithms (1995) |
| Artificial Life | Fontanta, W. 1992. Algorithmic chemistry. In Langton et al., Artificial Life II, 159—209 |
| Evolution vs. Creativity | A chapter in Basala, G. The Evolution of Technology. New York, Cambridge University Press. 1988 |
| Evolutionary Robotics | Mataric, M.J., Cliff, D., (1996) Challenges In Evolving Controllers for Physical Robots, In Evolutionary Robotics, special issue of Robotics and Autonomous Systems, Vol. 19, No. 1, October 1996, 67-83, and Watson, Richard A., Ficici, Sevan G. and Pollack, Jordan B. (2000). Embodied Evolution: Distributing an Evolutionary Algorithm in a Population of Robots. Brandeis University Technical Report CS-00-208 |
| Development, Modularity | Gruau, F. (1994). Automatic definition of modular neural networks. Adaptive Behavior, 2:151-183 |
| Evolutionary Robotics | Lipson, H., Pollack J. B., 2000, "Automatic Design and Manufacture of Artificial Lifeforms", Nature 406, pp. 974-978 |
| Selection Methods | J. E. Baker. Reducing bias and inefficiency in the selection algorithm. In Proceedings of the Second International Conference on Genetic Algorithms. Lawrence Erlbaum Associates (Hillsdale), 1987 |
| Hierarchy, Transitions | A chapter in John Maynard Smith and Eörs Szathmáry, The Origins of Life From the Birth of Life to the Origin of Language, Oxford University Press, 1999 (This is a popularization of "The Major Transitions in Evolution") |
| Symbiosis, Transitions | A chapter in Margulis, L./Fester, R., eds. 1991. Symbiosis as a Source of Evolutionary Innovation. Cambridge, MA: MIT Press |
| Artificial Life, Philosophy | Kim, Jaegwon (1999) “Making Sense of Emergence” Philosophical Studies. Vol. 95 (1-2), pp. 3-36, and M. A. Bedau, "Weak Emergence". In James Tomberlin, ed., Philosophical Perspectives: Mind, Causation, and World, vol. 11 (Blackwell Publishers), 1997, pp. 375-399 |
| Evolutionary Hardware | Adrian Thompson, Evolving electronic robot controllers that exploit hardware resources. 3rd Eur. Conf. on Artificial Life 1995 |
| Symbiosis, Transitions | Watson, R.A. and Pollack, J.B. (2002). A Computational Model of Symbiotic Composition in Evolutionary Transitions (PREPRINT) Biosystems, Special Issue on Evolvability, (preprint 2001 - to appear 2002) |
| Artificial Life | Langton, C. G. (1984), `Self-Reproduction in Cellular Automata', Physica 10D, 135-144 |
| Learning & Evolution | G.E. Hinton and S.J. Nolan, (1987) How learning can guide evolution, Complex Systems 1:495--502 |
| Symbiosis | Watson, R.A. and Pollack, J.B. (1999). How symbiosis can guide evolution . Fifth European Conference on Artificial Life. Dario Floreano, Jean-Daniel Nicoud, Francesco Mondada, eds. Springer, 1999 |
| Symbiosis, Artificial Life | Barricelli NA., (1962) Numerical testing of evolution theories, Part I: Theoretical introduction and basic test, Part II: Preliminary tests of performance, symbiogenesis, and terrestrial life. Acta Biotheoretica |
| Evolutionary Robotics, AI | Fogel LJ Owens AJ and Walsh M.J., (1965) Artificial Intelligence through a simulation of evolution, Biophysics and Cybernetic Systems |
| Artificial Test functions | William M. Spears Genetic Algorithms Repository of Test Problem Generators, and, Watson, R.A. and Pollack, J.B. (1999). Hierarchically-Consistent Test Problems for Genetic Algorithms . Proceedings of 1999 Congress on Evolutionary Computation (CEC 99). Angeline, Michalewicz, Schoenauer, Yao, Zalzala, eds. IEEE Press, pp.1406-1413 |
| Classifier Systems | Holland J.H. and Reitman J.S. (1983) Cognitive systems based on adaptive algorithms, Bulletin of Mathematical Biology. |
| TSP | Goldberg DE and Lingle R., (1985) Alleles, Loci, and the traveling salesman problem. |
| Hierarchy, Transitions | Richard E. Michod, Darwinian Dynamics: Evolutionary Transitions in Fitness and Individuality, Princeton University Press, 2000 |
| Evolutionary Robotics | A chapter in Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. Stefano Nolfi and Dario Floreano. xii + 320 pp. The MIT Press, 2000 |
| Structural Optimization | Funes and Pollack, Computer Evolution of Buildable Objects, Kane and Schoenauer Topological optimum design using GA |
| Theoretical Analysis | Mitchell, Theoretical Foundations of Genetic Algorithms, in An introduction to GAs. |
| Coevolution | Watson, R.A. and Pollack, J.B. (2001). Coevolutionary Dynamics in a Minimal Substrate. Proceedings of the 2001 Genetic and Evolutionary Computation Conference, Spector, L, et al (eds.), Morgan Kaufmann, 2001 |
| Applications | Various |
Other suggestions welcome