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Articles

Genetics-Based Machine Learning: A Promising Tool for Developing Business Computing Systems?

Pages 2-7 | Published online: 01 Feb 2016

References

  • Belew, R.K. and L.B. Booker, Eds. Proceedings of the Fourth International Conference on Genetic Algorithms, Morgan Kaufmann, 1991.
  • Bennett, K., M.C. Ferris, and Y.E. Ioannidis. “A Genetic Algorithm for Database Query Optimization,” in Belew, R.K. and L.B. Booker, Eds., Proceedings of the Fourth International Conference on Genetic Algorithms, Morgan Kaufmann, 1991.
  • Booker, L.B., D.E. Goldberg, and J.H. Holland. “Classifier Systems and Genetic Algorithms,” Artificial Intelligence, 40, 1989, pp. 235–282.
  • Bramlette, M.F. and R. Cusic. “A Comparative Evaluation and Search Methods Applied to Parametric Design of Aircraft,” in Grefenstette, J.J., Ed., Genetic Algorithms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms, Lawrence Erlbaum Associates, 1987.
  • Cleveland, G.A. and S.F. Smith. “Using Genetic Algorithms to Schedule Flow Shop Releases,” in Schaffer, J.D., Ed., Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufmann, 1989.
  • Davis, L. and S. Coombs. “Optimizing Network Link Sizes with Genetic Algorithms,” in Elzas, M.S., T.I. Oren, and B.P. Zeigler, Eds., Modeling and Simulation Methodology: Knowledge Systems Paradigms, North Holland, 1989.
  • Goldberg, D.E. Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley, 1989.
  • Goldberg, D.E. and C.H. Kuo. “Genetic Algorithms in Pipeline Optimization,” Journal of Computing in Civil Engineering, 1, 1987, pp. 128–141.
  • Greene, D.P. and S.F. Smith. “A Genetic System for Learning Models of Consumer Choice,” in Grefenstette, J.J., Ed., Genetic Algorithms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms, Lawrence Erlbaum Associates, 1987.
  • Grefenstette, J.J., Ed. Proceedings of an International Conference on Genetic Algorithms and Their Applications, Lawrence Erlbaum Associates, 1985.
  • Grefenstette, J.J., Ed. Genetic Algorithms and their Applications: Proceedings of the Second International Conference on Genetic Algorithms, Lawrence Erlbaum Associates, 1987.
  • Hilliard, M.R., G.E. Liepins, M. Palmer, M. Morrow, and J. Richardson. “A Classifier-based System for Discovering Scheduling Heuristics,” in Grefenstette, J.J., Ed., Genetic Algorithms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms, Lawrence Erlbaum Associates, 1987.
  • Hilliard, M.R., G.E. Liepins, M. Palmer, and G. Rangarajan. “The Computer as a Partner in Algorithmic Design: Automated Discovery of Parameters for a Multi-objective Scheduling Heuristic,” in Sharda, R., B. Golden, E. Wasil, O. Balci, and W. Stewart, Eds., Impacts of Recent Computer Advances on Operations Research, North Holland, 1989.
  • Hilliard, M.R., G.E. Liepins, G. Rangarajan, and M. Palmer. “Learning Decision Rules for Scheduling Problems: A Classifier Hybrid Approach,” Proceedings of the Sixth International Conference on Machine Learning, Morgan Kaufmann, 1989.
  • Holland, J.H. “Outline for a Logical Theory of Adaptive Systems,” Journal of the Association for Computing Machinery, 3, 1962, pp. 297–314.
  • Holland, J.H. Adaptation in Natural and Artificial Systems, The University of Michigan Press, 1975.
  • Holland, J.H., K.J. Holyoak, R.E. Nisbett, and P.R. Thagard. Induction: Processes of Inference, Learning, and Discovery, The MIT Press, 1986.
  • Holsapple, C.W., V.S. Jacob, R. Pakath, and J. Zaveri. “A Genetics-based Hybrid Scheduler for Generating Static Schedules in Flexible Manufacturing Contexts,” Working Paper, DSIS Department, College of Business and Economics, The University of Kentucky, 1992.
  • Jamal, A.M.M. “Neural Network and Expert Systems for Small Business,” The Journal of Computer Information Systems, 32:1, 1991, pp. 1–3.
  • Kodratoff, Y. and R.S. Michalski, Eds. Machine Learning: An Artificial Intelligence Approach, Vol. 3, Morgan Kaufmann, 1990.
  • Koster, A., N.E. Sondak, and W. Bourbia. “A Business Application of Artificial Neural Network Systems,” The Journal of Computer Information Systems, 31:2, 1990, pp. 3–9.
  • Lippmann, R. “An Introduction to Computing with Neural Nets,” IEEE ASSP Magazine, 1987, pp. 4–22.
  • Mansour, N. and G.C. Fox. “A Hybrid Genetic Algorithm for Task Allocation in Multicomputers,” in Belew, R. K. and L.B. Booker, Eds., Proceedings of the Fourth International Conference on Genetic Algorithms, Morgan Kaufmann, 1991.
  • Marks, R.E. “Breeding Hybrid Strategies: Optimal Behavior for Oligopolists,” in Schaffer, J.D., Ed., Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufmann, 1989.
  • Michalski, R.S. and Y. Kodratoff. “Research in Machine Learning: Recent Progress, Classification of Methods, and Future Directions,” in Kodratoff, Y. and R.S. Michalski, Eds., Machine Learning: An Artificial Intelligence Approach, Vol. 3, Morgan Kaufmann, 1990.
  • Miller, G.F., P.M. Todd, and S.U. Hegde. “Designing Neural Networks Using Genetic Algorithms,” in Schaffer, J.D., Ed., Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufmann, 1989.
  • Owens, A. and D. Filkin. “Efficient Training of the Back Propagation Network by Solving a System of Stiff Ordinary Differential Equations,” in Proceedings of the IEEE INNS International Joint Conference on Neural Networks, IEEE Service Center, 1989.
  • Raghavan, V.V. and B. Agarwal. “Optimal Determination of User-oriented Clusters: An Application for the Reproductive Plan,” in Grefenstette, J. J., Ed., Genetic Algorithms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms, Lawrence Erlbaum Associates, 1987.
  • Rosenblatt, F. “The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain,” Psychological Review, 62, 1958. Reprinted in Shavlik, J.W. and T.G. Dietterich, Eds., Readings in Machine Learning, Morgan Kaufmann, 1990.
  • Rumelhart, D., G.E. Hinton, and R. Williams. “Learning Internal Representations by Back-propagating Errors,” Nature, 323:9, 1986, pp. 533–536.
  • Sannier II, A.V. and E.D. Goodman. “Genetic Learning Procedures in Distributed Environments,” in Grefenstette, J.J., Ed., Genetic Algorithms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms, Lawrence Erlbaum Associates, 1987.
  • Schaffer, J.D., Ed. Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufmann, 1989.
  • Schwartz, E.I. and J.B. Treece. “Smart Programs go to Work,” Business Week, March 2, 1992, pp. 97–105.
  • Siedlecki, W. and J. Sklansky. “Constrained Genetic Optimization via Dynamic Reward-penalty Balancing and its use in Pattern Recognition,” in Schaffer, J.D., Ed., Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufmann, 1989.
  • Stadnyk, I. “Schema Recombination in Pattern Recognition Problems,” in Grefenstette, J.J., Ed., Genetic Algorithms and Their Applications: Proceedings of the Second International Conference on Genetic Algorithms, Lawrence Erlbaum Associates, 1987.
  • Syswerda, G. “Schedule Optimization Using Genetic Algorithms,” Working Paper, BBN Laboratories, BBN Systems and Technologies Corporation, 1990.
  • Waite, T. and H. Hardenbergh. “Neural Nets,” Programmer's Journal, 7, 1989, pp. 10–22.
  • Weiss, S.M. and C.A. Kulikowski. Computer Systems that Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems, Morgan Kaufmann, 1991.
  • Whitley, D. and T. Hanson. “Optimizing Neural Networks Using Faster, More Accurate Genetic Search,” in Schaffer, J.D., Ed., Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufmann, 1989.
  • Whitley, D., T. Starkweather, and D. Fuquay. “Scheduling Problems and Travelling Salesmen: The Genetic Edge Recombination Operator,” in Schaffer, J.D., Ed., Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufmann, 1989.
  • Wilson, R.L. “Business Implementation Issues for Neural Networks,” The Journal of Computer Information Systems, 32:3, 1992, pp. 15–19.

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