www.eprace.edu.pl » algorytmy-genetyczne » Bibliografia


[1] D. Andre and A. Teller. Evolving team darwin united. RoboCup-98: Robot Soccer World Cup II, 1999.

[2] T. Becker. No accidental tourist. Gatech.http://gtresearchnews.gatech.edu/reshor/rh-f04/tsp.html.

[3] S. Begley and G. Beals. Software au naturel. Newsweek, May 8, 1995.

[4] P. Borovska and M. Lazarova. Migration policies for island genetic models on multicomputer platform. In Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, pages 143 - 148. IEEE, 2007.

[5] E. Cantu-Paz. Topologies, migration rates, and multi-population parallel genetic algorithms.

[6] J. P. Cohoon, S. U. Hegde, W. N. Martin, and D. Richards. Punctuated equilibria: a parallel genetic algorithm. In Proceedings of the Second International Conference on Genetic Al-gorithms on Genetic algorithms and their application, pages 148-154, Hillsdale, NJ, USA, 1987. L. Erlbaum Associates Inc.

[7] C. Davidson. Creatures from primordial silicon. New Scientist, 156(2108), 1997.

[8] K. De Jong. An Analysis of the Behaviour of a Class of Genetic Adaptive Systems. PhD thesis, University of Michigan, 1975.

[9] J. Denzinger and J. Kidney. Improving migration by diversity. Evolutionary Computation, 2003. CEC "03. The 2003 Congress on, 2003.

[10] J. Fitzpatrick, J. Grefenstette, and D. VanGucht. Image registration via ga to minimise image differences. In Proceedings of IEEE Southeast Conference.

[11] A. Fukunaga. Restart scheduling for genetic algorithms. In Genetic Algorithms: Proceedings of the Seventh International Conference, pages 357-358, 1997.

[12] R. Giro. Designing conducting polymers using genetic algorithms. Chemical Physics Letters, 2002.

[13] GIT. World tsp. Georgia Institute of Technology. http://www.tsp.gatech.edu/world/.

[14] D. Goldberg. Algorytmy Genetyczne i ich zastosowania. Wydawnictwa Naukowo-Techniczne, 3rd edition, 2003.

[15] P. Grosso. Computer simulations of genetic adaptation: parallel subcomponent interaction in a multilocus model. PhD thesis, Ann Arbor, MI, USA, 1985.

[16] S. Gustafson. An Analysis of Diversity in Genetic Programming. PhD thesis, University of Nottingham, 2004.

[17] J. Holland. Adaptation in Natural and Artificial Systems. University of Michigan Press, 1975.

[18] J. Holland. Genetic algorithms. Scientific American, pages 66-72, 1992.

[19] T.-P. Hong, W.-Y. Lin, S.-M. Liu, and J.-H. Lin. Dynamically adjusting migration rates for multi-population genetic algorithms. Journal of Advanced Computational Intelligence and Intelligent Informatics, 2006.

[20] P. Kadłuczka and W. Chmiel. Wykorzystanie własnos´ci zagadnienia qap w konstrukcji algorytmów ewolucyjnych. In Automatyka. Akademia Górniczo-Hutnicza, 2007.

[21] A. Keane. Vibrations in space - application to satellite truss design. University of Southampton. http://www.soton.ac.uk/\~{}ajk/truss/welcome.html.

[22] R. Kewley and M. Embrechts. Computational military tactical planning system. IEEE Trans-actions on Systems, 2002.

[23] J. Koza. Genetic Programming. MIT Press, Cambridge, 1992.

[24] J. Koza. Genetic Programming III: Darwinian Invention and Problem Solving. Morgan Kaufmann Publishers, 1999.

[25] S. Lin and B. Kernighan. Effective heuristic algorithm for the traveling salesman problem. Operations Research, 21:498 - 516, 1973.

[26] S. Luke. A java-based evolutionary computation research system. George Mason University - Department of Computer Science.http://www.cs.gmu.edu/~eclab/projects/ecj/.

[27] S. Mahfoud and M. Ganesh. Financial forecasting using genetic algorithms. Applied Artifi-cial Intelligence, 1996.

[28] A. Marczyk. Genetic algorithms and evolutionary computation.http://www.talkorigins.org/faqs/genalg/genalg.html

[29] N. McPhee. Analysis of genetic diversity through population history. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 1112-1120. Morgan Kaufmann, 1999.

[30] K. Meffert. Java genetic algorithms package. Sourceforge. http://jgap.sourceforge.net/.

[31] R. Morrison and K. DeJong. Measurement of population diversity. In In 5th International Conference EA 2001, volume 2310 of lncs, pages 31-41. Springer-Verlag, 2002.

[32] J. Rosca. Entropy-driven adaptive representation. In Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pages 23-32. Morgan Kaufmann, 1995.

[33] S. Sato. Applying genetic algorithms to the imum design of a concert hall. Journal of Sound and Vibration, 258(3):517-526, 2002.

[34] I. Sekaj. Robust parallel genetic algorithms with re-initialisation. In X. Yao, E. K. Burke, J. A. Lozano, J. Smith, J. J. M. Guervós, J. A. Bullinaria, J. E. Rowe, P. Tiño, A. Kabán, and H.-P. Schwefel, editors, PPSN, volume 3242 of Lecture Notes in Computer Science, pages 411-419. Springer, 2004.

[35] H. Sengoku and I. Yoshihara. A fast tsp solver using ga on java. In Proc. of 3rd Int"l Symp. on Artificial Life and Robotics.

[36] Z. Skolicki and K. DeJong. The influence of migration sizes and intervals on island models. In GECCO "05: Proceedings of the 2005 conference on Genetic and evolutionary computa-tion, pages 1295-1302, New York, NY, USA, 2005. ACM.

[37] R. Tanese. Parallel genetic algorithms for a hypercube. In Proceedings of the Second In-ternational Conference on Genetic Algorithms on Genetic algorithms and their application, pages 177-183, Hillsdale, NJ, USA, 1987. L. Erlbaum Associates Inc.

[38] K. Tangand, K. Man, and S. Kwong. Genetic algorithms and their applications. IEEE Signal Processing Magazine, 13(6):22-37, 1996.

[39] Y. Tsujimura and M. Gen. Entropy-based genetic algorithm for solving tsp. In Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES "98., pages 285-290. IEEE, 1998.

[40] Uni-Heidelberg. Tsplib95. Uni-Heidelberg. http://www.iwr.uni-heidelberg.de/groups/comopt/software/TSPLIB95.

[41] Uni-Heidelberg. Tsplib95 documentation. Uni-Heidelberg.http://www.iwr.uni-heidelberg.de/groups/comopt/software/TSPLIB95/DOC.PS.

[42] L. Wang, A. Maciejewski, and H. Siegel. A comparative study of five parallel genetic algo-rithms using the travelling. In Salesman Problem, IPPS: 11th International Parallel Proces-sing Symposium, IEEE Computer. Society Press, 1998.

[43] L. Wang, A. Maciejewski, H. Siegel, and V. Roychowdhury. A comparative study of five parallel genetic algorithms using the traveling salesman problem. In Salesman Problem, IPPS: 11th International Parallel Processing Symposium, IEEE Computer. Society Press, 1998.

[44] D. Whitley, S. Rana, and R. Heckendorn. Island model genetic algorithms and linearly se-parable problems. In Proceedings of AISB Workshop on Evolutionary Computation, volume 1305 of LNCS, pages 109-125. Springer-Verlag, 1997.

[45] E. Williams. Selecting better orbits for satellite constellations. Journal of Astronautical Sciences.http://www.space.com/news/darwin\_satellites\_011016.html.

[46] Y. L. Zak. Designing a genetic neural fuzzy antilock-brake-system controller. IEEE Trans-actions on Evolutionary Computation, 2002.

[47] K. Zhu. Population diversity in genetic algorithm for vehicle routing problem with time windows, 2008.

[48] K. Zhu and Z. Liu. Empirical study of population diversity in permutation-based genetic algorithm.

[49] Evolvable Systems Group.  http://ti.arc.nasa.gov/projects/esg/publications/index.htm


Copyright © 2008-2010 EPrace oraz autorzy prac.