Evolutionary methods

Intelligent Systems, Control and Automation: Science and Engineering

Volumn 75, Issue , 2015, Pages 9-20

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EID: 84927927690     PISSN: 22138986     EISSN: 22138994     Source Type: Book Series    
DOI: 10.1007/978-94-017-9520-3_2     Document Type: Article

References (13)

1. Mitchell M (1998) An Introduction to genetic algorithms. MIT Press, Cambridge. ISBN 978-0-262-63185-3 pp. I–VIII, 1–208
2. HP S (1975) Evolution strategie and numerische optimierung, PhD. Thesis. Technische Universität, Berlin
3. Holland J. (1975) Adaption in natural and artificial systems. The University of Michigan Press, Michigan
4. Goldberg D. (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley
5. Michalewicz Z. (1992) Genetic algorithms + data structures = evolution programs. Artifical intelligence. Springer-Verlag
6. Hansen N, Ostermeier A. (1996) adapting arbitrary normal mutation distributions in evolution strategies: The covariance matrix adaptation. In: Proceedings of the 1996 IEEE International Conference on Evolutionary Computation, pp 312-317
7. Hansen N, Ostermeier A (2001) Completely derandomised self-adaption in evolution strategies. Evolut Comput 9(2):159–195
8. Rechenberg I (1973) Evolution Strategie: Optimierung technisher Systeme nach Principen der biologischen Evolution. Frommann-Holsboog, Stuttgart
9. Koza JR (1992) Genetic programming: on the programming of computers by means of natural selection. The MIT Press, Cambridge
10. Kumar V (1992) Algorithms for constraint-satisfaction problems: a survey. AI Magazine 13(1):32–44
11. Dasgupta D, Michalewicz Z. (1997) Evolutionary algorithms in engineering applications. Springer-Verlag
12. Richardson JT, Palmer MR, Liepins G, Hilliard M. (1989) Some guidelines for genetic algorithms with penalty functions-incorporating problem specific knowledge into genetic algorithms. In: Schaffer JD (ed) Proceedings of the Third International Conference on Genetic Algorithms, pp 191–197, George Mason University. Morgan Kaufmann.
13. Joines JA, Houck CR. (1994) On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA’s. In: International Conference on Evolutionary Computation, pp 579–584