[5] P. Bak, H. Flyvbjerg, and B. Lautrup, "Coevolution in a rugged
fitness landscape," Physical Review A, vol. 46, pp. 6724-6730, 1992.
[6] M. Hall, K. Christensen, S. A. di Collobiano, and H. Jeldtoft
Jensen, "Time-dependent extinction rate and species abundance in a
tangled-nature model of biological evolution," Physical Review E, vol.
66, p. 11904, 2002.
[7] J. Maynard Smith, "Evolution and the Theory of Games,"
American Scientist, vol. 64, pp. 41-45, 1976.
[8] S. G. Ficici, O. Melnik, and J. B. Pollack, "A game-theoretic
investigation of selection methods used in evolutionary algorithms,"
Proceedings of the 2000 Congress on Evolutionary Computation
(CEC-2000), vol. 2, 2000.
[9] M. A. Potter, "The Design and Analysis of a Computational
Model of Cooperative Coevolution," George Mason University, 1997.
[10] W. D. Hillis, "Co-evolving parasites improve simulated
evolution as an optimization procedure," Physica D: Nonlinear
Phenomena, vol. 42, pp. 228-234, 1990.
[11] K. Deb, Multi-Objective Optimization Using Evolutionary
Algorithms: Wiley, 2001.
[12] S. G. Ficici and J. B. Pollack, "A game-theoretic approach to the
simple coevolutionary algorithm," Parallel Problem Solving from
Nature, PPSN-VI, vol. 1917, 2000.
[13] S. G. Ficici and J. B. Pollack, "Pareto Optimality in
Coevolutionary Learning," in Advances in Artificial Life: 6th
European Conference, ECAL 2001, Prague, Czech Republic, 2001.
[14] J. Noble and R. A. Watson, "Pareto coevolution: Using
performance against coevolved opponents in a game as dimensions for
Pareto selection," Proceedings of the Genetic and Evolutionary
Computation Conference, pp. 493-500, 2001.
[15] E. D. de Jong, "Intransitivity in coevolution," in Proceedings of
the 8th International Conference on Parallel Problem Solving from
Nature (PPSN-04), 2004.
[16] K. Deb, L. Thiele, M. Laumanns, and E. Zitzler, "Scalable test
problems for evolutionary multi-objective optimization," Evolutionary
Multiobjective Optimization, pp. 105-145, 2005.
[17] E. Alba and B. Dorronsoro, "The Exploration/Exploitation
Tradeoff in Dynamic Cellular Genetic Algorithms," IEEE
Transactions on Evolutionary Computation, vol. 9, pp. 126-142, 2005.
[18] F. Herrera, M. Lozano, and A. M. Sanchez, "Hybrid crossover
operators for real-coded genetic algorithms: an experimental study,"
Soft Computing-A Fusion of Foundations, Methodologies and
Applications, vol. 9, pp. 280-298, 2005.
[19] K. A. De Jong, "An Analysis of the Behavior of a Class of
Genetic Adaptive Systems," University of Michigan, 1975.
[20] K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan, "A Fast
Elitist Non-Dominated Sorting Genetic Algorithm for Multi-
Objective Optimization: NSGA-II," Proceedings of the Parallel
Problem Solving from Nature VI Conference, pp. 849-858, 2000.
[21] D. E. Goldberg, K. Deb, and J. Horn, "Massive Multimodality,
Deception, and Genetic Algorithms," Parallel Problem Solving from
Nature, 2, pp. 37-46, 1992.
[22] P. Bak, C. Tang, and K. Wiesenfeld, "Self-organized criticality:
An explanation of the 1/f noise," Physical Review Letters, vol. 59, pp.
381-384, 1987.
[23] P. Bak, C. Tang, and K. Wiesenfeld, "Self-organized
criticality," Physical Review A, vol. 38, pp. 364-374, 1988.
[24] B. Drossel, "Biological evolution and statistical physics,"
Advances in Physics, vol. 50, pp. 209-295, 2001.
[25] J. M. Whitacre, R. Sarker, and Q. T. Pham, "The influence of
population topology and historical coupling on Evolutionary
Algorithm population dynamics," IEEE Transactions on Evolutionary
Computation (submitted September, 2007), 2007.
[26] P. Bak and M. Paczuski, "Complexity, Contingency, and
Criticality," Proc. Natl. Acad. Sci. USA, vol. 92, pp. 6689-6696,
1995.
[27] S. A. Kauffman, The Origins of Order: Self-Organization and
Selection in Evolution: Oxford University Press, 1993.
[28] S. A. Kauffman, "Requirements for evolvability in complex
systems: orderly components and frozen dynamics," Physica D, vol.
42, pp. 135-152, 1990.
[29] D. G. Green and D. Newth, "Towards a theory of everything?-
Grand challenges in complexity and informatics," Complexity
International, vol. 8, p. 1, 2001.
[30] D. G. Green, D. Newth, and M. Kirley, "Connectivity and
catastrophe-towards a general theory of evolution," Artificial Life
VII: Proceedings of the Seventh International Conference, pp. 153-
161, 2000.
[31] D. G. Green, T. G. Leishman, and S. Sadedin, "Dual phase
evolution-a mechanism for self-organization in complex systems," in
International Conference on Complex Systems (ICCS-2006), 2006.
[32] M. Kirley and D. G. Green, "An empirical investigation of
Optimization in Dynamic Environments using the cellular genetic
algorithm," Proceedings of Genetic and Evolutionary Computation
Conference, 2000.