Article PDF
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
References
Holland JH. Adaptation in natural and artificial systems. Ann Arbor (MI): University of Michigan Press, 1975
Horowitz E, Sahni S. Fundamentals of computer algorithms. London: Pitman, 1978
Smith SF. A learning system based on genetic adaptive algorithms [dissertation]. Pittsburg (PN): Univ of Pittsburg, 1980
Schaffer JD. Some experiments in machine learning using vector evaluated genetic algorithms [dissertation]. Vanderbilt University (unpublished) 1984
Davis L, editor. Genetic algorithms and simulated annealing. London: Pitman, 1987
Cavicchio DJ. Adaptive search using simulated evolution [dissertation]. Ann Arbor (MI): Univ of Michigan (unpublished), 1970
De Jong K. An analysis of the behavior of a class of genetic adaptive systems [dissertation]. Ann Arbor (MI): Univ of Michigan, 1975
Booker LB. Intelligent behavior as an adaption to the task environment [dissertation]. Ann Arbor (MI): Univ of Michigan, 1982
Mauldin ML. Maintaining diversity in genetic search. In: Proceedings of the National Conference on Artificial Intelligence; 1984: 247–250
Goldberg DE, Richardson J. Genetic algorithms with sharing for multimodal function optimization. In: Proceedings of the Second International Conference on Genetic Algorithms; 1987: 41–49; Cambridge (MA)
Gorges-Schleuter M. Genetic algorithms and population structures, A massively parallel algorithm [dissertation]. Dortmund (Germany): Univ of Dortmund, Germany, 1990
Manderick B, Spiessens P. Fine grained parallel genetic algorithms. In: Proceedings of the Third International Conference on Genetic Algorithms. New York (NY): Morgan Kaufmann, 1989
Spiessens O, Manderick B. A massively parallel genetic algorithm — implementation and first analysis. In: Proceedings of the Foruth International Conference on Genetic Algorithms. New York (NY): Morgan Kaufmann, 1991
Collins RJ, Jefferson DR. Selection in massively parallel genetic algorithms. In: Proceedings of the Fourth International Conference on Genetic Algorithms; 1991; New York (NY): Morgan Kaufman.
Rudnick M. A bibliography of the intersection of genetic search and neural networks. Beaverton (OR): Oregon Graduate Centre, Technical Report CS/E 90-001, 1990
Weiss G. Combining neural and evolutionary learning: Aspects and approaches Forschungsberichte Künstliche Intelligenz, Technical Report FKI-132-90, 1990
Jones AJ, Valenzuela CL, Badii A, Binstead MJ, Stonham TJ. Applications of N-tuple sampling and genetic algorithms to speech recognition. In: Aleksander I, editor. Neural Computing architectures. New York: Kogan Page, 1988
Belew R, McInerney J. Schraudolph NN. Evolving networks: Using the genetic algorithm with connectionist learning. San Diego (CA): University of California, CSE Technical Report CS90-174, 1990
Wilson S. Perception redux. Physica D (forthcoming)
Montana DJ, Davis L. Training feedforward neural networks using genetic algorithms. In: Proceedings of the Eleventh International Joint Conference on Artificial Intelligence; 1989: 762–767
Dodd, N. Optimization of neural network structures using genetic techniques. Malvern (UK): Royal Signals and Radar Establishment, Internal Report RIP-REP/1000/63/89, 1989
Miller G, Todd P, Hegde S. Designing neural networks using genetic algorithms. In: Proceedings of the Third Conference on Genetic Algorithms and their Applications; 1989: San Mateo (CA)
Whitley D, Hanson T. Optimising neural networks using faster, more accurate genetic search. In: Proceedings of the Third International Conference on Genetic Algorithms, New York (NY): Morgan Kaufmann, 1989; 391–396
Whitley D, Starkweather T, Bogart C. Genetic algorithms and neural networks: optimizing connections and connectivity. Parall Comput 1990; 14
Whitley D, Dominic S, Rajarshi D. Genetic reinforcement learning with multilayer neural networks. In: Proceedings of the Fourth International Conference on Genetic Algorithms. New York (NY): Morgan Kaufmann, 1991
Dodd N, Macfarlane D, Marland C. Optimisation of artificial network structure using genetic technique implemented on multiple transputers. In: Styles D, Kunii T, Bakkers A, editors. Transputing 91 (Vol 2). Geneva: ISO Press, 1991
Radcliffe NJ. Genetic neural networks on MIMD computers [dissertation]. Edinburgh (UK): Univ of Edinburgh, 1990
Radcliffe NJ. Genetic set recombination and its application to neural network topology optimisation. Edinburgh (UK): Edinburgh Parallel Computing Centre, Technical Report EPCC-TR-91-21, 1991
Radcliffe NJ. Equivalence class analysis of genetic algorithms. Complex Syst 1991; 5(2): 183–205
Radcliffe NJ. Forma analysis and random respectful recombination. In: Proceedings of the Fourth International Conference on Genetic Algorithms. New York (NY): Morgan Kaufmann, 1991
Robbins GE, Hughes JC, Plumbley MD, Fallside F, Prager R. Generation and adaptation of neural networks by evolutionary techniques (GANNET). Neural Comput & Applic 1993; 1: 22–30
Harp SA, Samad T, Guha A. Towards the genetic synthesis of neural networks. In: Proceedings of the Third International Conference on Genetic Algorithms. New York (NY): Morgan Kaufmann, 1989
Mjolsness E, Sharp DH, Alpert BK. Scaling, machine learning, and genetic neural nets. Adv Appl Math 1989; 10
Kitano H. Designing neural networks using genetic algorithms with graph generation system. Complex Syst 1990; 4: 461–476
Lindenmayer A. Developmental systems without cellular interaction, their languages and grammars. J Theor Biol 1971; 30: 455–484
Gruau F. Synthèse de réseaux de neurones par algorithme génétique [dissertation]. Lyon (France): Ecole Normale Supérieure de Lyon, 1991
Chalmers DJ. The evolution of learning: An experiment in genetic connectionism. In: Proceedings of the Connectionist Models Summer School; 1990; San Marco (CA)
Karp RM. Probabilistic analysis of partitioning algorithm for the travelling-salesman problem in the plane. Math Oper Res 1977; 2(3): 209–224
Steele JM. Probabilistic algorithm for the directed traveling salesman problem. Math Oper Res 1988; 11(2): 343–350
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Jones, A.J. Genetic algorithms and their applications to the design of neural networks. Neural Comput & Applic 1, 32–45 (1993). https://doi.org/10.1007/BF01411373
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF01411373