An Introduction to Genetic Algorithms - Boente
An Introduction to Genetic Algorithms - Boente
An Introduction to Genetic Algorithms - Boente
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Appendix B: Other Resources<br />
Goldberg, D. E. 1989d. Sizing populations for serial and parallel genetic algorithms. In J. D. Schaffer, ed.,<br />
Proceedings of the Third International Conference on <strong>Genetic</strong> <strong>Algorithms</strong>. Morgan Kaufmann.<br />
Goldberg, D. E. 1990. A note on Boltzmann <strong>to</strong>urnament selection for genetic algorithms and<br />
population−oriented simulated annealing. Complex Systems 4: 445–460.<br />
Goldberg, D. E., and Deb, K. 1991. A comparitive analysis of selection schemes used in genetic algorithms.<br />
In G. Rawlins, Foundations of <strong>Genetic</strong> <strong>Algorithms</strong>. Morgan Kaufmann.<br />
Goldberg, D. E., Deb, K., andKorb, B. 1990. Messy genetic algorithms revisited: Studies in mixed size and<br />
scale. Complex Systems 4: 415–444.<br />
Goldberg, D. E., Deb, K., Kargupta, H., and Harik, G. 1993. Rapid, accurate optimization of difficult<br />
problems using fast messy genetic algorithms. In S. Forrest, ed., Proceedings of the Fifth International<br />
Conference on <strong>Genetic</strong> <strong>Algorithms</strong>. Morgan Kaufmann.<br />
Goldberg, D. E., Korb, B., and Deb, K. 1989. Messy genetic algorithms: Motivation, analysis, and first<br />
results., Complex Systems 3: 493–530.<br />
Goldberg, D. E., and Richardson, J. 1987. <strong>Genetic</strong> algorithms with sharing for multimodal function<br />
optimization. In J. J. Grefenstette, ed., <strong>Genetic</strong> <strong>Algorithms</strong> and Their Applications: Proceedings of the Second<br />
International Conference on <strong>Genetic</strong> <strong>Algorithms</strong>. Erlbaum.<br />
Goldberg, D. E., and Segrest, P. 1987. Finite Markov chain analysis of genetic algorithms. In J. J.<br />
Grefenstette, ed., <strong>Genetic</strong> <strong>Algorithms</strong> and Their Applications: Proceedings of the Second International<br />
Conference on <strong>Genetic</strong> <strong>Algorithms</strong>. Erlbaum.<br />
Gonzaga de Sa, P., and Maes, C. 1992. The Gacs−Kurdyumov−Levin au<strong>to</strong>ma<strong>to</strong>n revisited. Journal of<br />
Statistical Physics 67, no. 3/4: 507–522.<br />
Grefenstette, J. J. 1986. Optimization of control parameters for genetic algorithms. IEEE Transactions on<br />
Systems, Man, and Cybernetics 16, no. 1: 122–128.<br />
Grefenstette, J. J. 1991a. Lamarckian learning in multi−agent environments. In R. K. Belew, and L. B.<br />
Booker, eds., Proceedings of the Fourth International Conference on <strong>Genetic</strong> <strong>Algorithms</strong>, Morgan Kaufmann.<br />
Grefenstette, J. J. 1991b. Conditions for implicit parallelism. In G. Rawlins, ed., Foundations of <strong>Genetic</strong><br />
<strong>Algorithms</strong>. Morgan Kaufmann.<br />
149