References
- Goldberg D. E. (1989) Genetic Algorithms in Search, Optimization, and Machine Learning Addison-Wesley
- Holland J. (1975) Adaptation in Natural and Artificial Systems The University of Michigan Press Ann Arbor
- Grefenstette , J. , Ramsey , C. and Shultz , A. (1990) . Learning sequential decision rules using simulation models and competition . Machine Learning , 5 : 355 – 381 .
- Janikow , C. Z. (1993) . A knowledge-intensive genetic algorithm for supervised learning . Machine Learning , 13 : 189 – 228 .
- Smith D. (1985) Bin packing with adaptive search Proceedings of an International Conference on Genetic Algorithms Morgan Kauffman pp. 202–206
- Goel A. Chandresekaran B. (1992) Case-based design: A task analysis Artificial Intelligence in Engineering Design II C. Tong and D. Sriram (Eds.) Academic Press, Inc. pp. 165–184
- Huhns M. Acosta R. (1992) Argo: An analogical reasoning system for solving design problems Artificial Intelligence in Engineering Design II C. Tong and D. Sriram, (Eds.) Academic Press, Inc. pp. 105–144
- Mostow J. Barley M. Weinrich T. (1992) Automated reuse of design plans in bogart Artificial Intelligence in Engineering Design II C. Tong and D. Sriram (Eds.) Academic Press, Inc. pp. 57–104
- Sycara K. Navinchandra D. (1992) Retrieval strategies in case-based design system Artificial Intelligence in Engineering Design II C. Tong and D. Sriram (Eds.) Academic Press pp. 145–164
- Riesbeck C. K. Schank R. C. (1989) Inside Case-Based Reasoning Lawrence Erlbaum Associates Cambridge MA
- Leake D. B. (1996) Case-Based Reasoning: Experiences, Lessons, and Future Directions AAAI/MIT Press Menlo Park CA
- Louis , S. J. , McGraw , G. and Wyckoff , R. (1993) . Case-based reasoning assisted explanation of genetic algorithm results . Journal of Experimental and Theoretical Artificial Intelligence , 5 : 21 – 37 .
- Ackley D. A. (1987) A Connectionist Machine for Genetic Hillclimbing Kluwer Academic Publishers
- Eshelman L. J. (1991) The CHC adaptive search algorithm: How to have safe search when engaging in nontraditional genetic recombination Foundations of Genetic Algorithms-1 Rawlins, G. J. E. (Ed.) Morgan Kauffman pp. 265–283
- Koza J. R. (1993) Genetic Programming MIT Press
- Schoenauer M. Xanthakis S. (1993) Constrained GA optimization Proceedings of the Fifth International Conference on Genetic Algorithms. Morgan Kauffman San Mateo CA pp. 573–580
- Grefensttete J. Ramsey C. (1992) An approach to anytime learning Proceedings of the Ninth International Conference on Machine Learning Morgan Kauffman pp. 189–195
- Ramsey C. Grefensttete J. (1993) Case-based initialization of genetic algorithms In: Proceedings of the Fifth International Conference on Genetic Algorithms. S. Forrest (Ed.) Morgan Kauffman pp. 84–91
- Sheppard J. W. Salzburg S. L. (1995) Combining genetic algorithms with memory based reasoning In: Proceedings of the Sixth International Conference on Genetic Algorithms S. Forrest (Ed.) Morgan Kauffman pp. 452–459
- Louis S. J. Johnson J. (1997) Solving similar problems using genetic algorithms and case-based memory In: Proceedings of the Seventh International Conference on Genetic Algorithms Morgan Kauffman San Mateo CA pp. 283–290
- Bearpark K. Keane A. J. (2000) Short term memory in GP Proceedings of Fourth Adaptive Computing in Design and Manufacturing Conf. pp. 309–320
- Jin X. Reynolds R. (1999) Using knowledge based evolutionary computation to solve machine constraint optimization problems: A cultural algorithm approach Proceedings of the Congress on Evolutionary Computation pp. 672–678
- Perez E. I. Coello C. A. C. Aguirre A. H. (2001) Extraction of design patterns from evolutionary algorithms using case-based reasoning Evolvable Systems: From Biology to Hardware (ICES 2001) Lecture Notes in Computer Science No. 2210, Y. Liu, et al. (Eds.) Springer pp. 244–255
- Thomson P. (2000) Circuit evolution and visualization Evolvable Systems: From Biology to Hardware (ICES 2000) Lecture Notes in Computer Science, J. Miller, et al. (Eds.) Springer pp. 229–240
- Caruana R. (1997) Multitask learning PhD thesis School of Computer Science, Carnegie Mellon University Pittsburg PA
- Caruana , R. (1997) . Multitask learning: A knowledge-based source of inductive bias . Machine Learning , 28 : 41 – 75 .
- Caruana R. Baluja S. Mitchell T. (1996) Using the future to “Sort Out” the present, rankprop and multitask learning for medical risk prediction Advances in Neural Information Processing Systems 8, (Proceedings of NIPS-95) pp. 959–965
- Thrun S. (1996) Explanation-Based Neural Network Learning: A Lifelong Learning Approach Kluwer Academic Publisher Amsterdam
- Thrun S. (1996) Is learning the nth thing any easier than learning the first? Advances in Neural Information Processing Systems 8, (Proceedings of the NIPS-95) pp. 640–646
- Louis S. J. Li G. (1997) Combining robot control strategies using genetic algorithms with memory Lecture Notes in Computer Science, Evolutionary Programming VI 1213 Springer 431 442
- Louis S. J. Rawlins G. J. E. (1991) Designer genetic algorithms: Genetic algorithms in structure design In: Proceedings of the Fourth International Conference on Genetic Algorithms Morgan Kauffman San Mateo CA pp. 53–60