Improvements of real coded genetic algorithms based on differential operators preventing premature convergence
Tóm tắt
Từ khóa
Tài liệu tham khảo
Andre, 2000, An improvement of the standard genetic algorithm fighting premature convergence in continuous optimization, Adv Engng Software, 32, 49, 10.1016/S0965-9978(00)00070-3
Baker JE. Reducing bias and inefficiency in the selection algorithm. In: Grefenstette J, editor. Proceedings of the First International Conference on Genetic Algorithms. London: Lawrence Erlbaum. p. 101–11.
Davis, 1990
DE homepage. http://www.icsi.berkeley.edu/storn/code.html.
Fan, 2000, An empirical comparison of three novel genetic algorithms, Engng Comput, 17, 981, 10.1108/02644400010360901
Foo NY, Bosworth JL. Algebraic, geometric, and stochastic aspects of genetic operators. Technical Report 003120-2-T. University of Michigan; 1972.
Goldberg, 1989
Grefenstette, 1987, Genetic algorithms and their applications
Holland JH. Adaptation in natural and artificial systems. Internal report. Ann Arbor, MI: University of Michigan; 1975.
Hollstein RB. Artificial genetic adaptation in computer control systems. PhD Thesis. University of Michigan; 1971.
Hrstka O, Kučerová A. Search for optimization method on multidimensional real domains. In: Contributions to Mechanics of Materials and Structures. CTU Reports, vol. 4. Czech Technical University in Prague; 2000. p. 87–104.
Lepš, 2003, New approach to optimization of reinforced concrete beams, Comput Struct, 10.1016/S0045-7949(03)00215-3
Matouš, 2000, Applying genetic algorithms to selected topics commonly encountered in engineering practice, Comput Meth Appl Mech Engng, 190, 1629, 10.1016/S0045-7825(00)00192-4
Michalewicz, 1996
Rafiq, 1998, Genetic algorithms in optimal design and detailing of reinforced biaxial columns supported by a declarative approach for capacity checking, Comput Struct, 69, 443, 10.1016/S0045-7949(98)00108-4
SADE homepage. http://klobouk.fsv.cvut.cz/~ondra/sade/sade.html.
Storn, 1996