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A schema theory analysis of mutation size biases in genetic programming with linear representations.

, , and . CEC, page 1078-1085. IEEE, (2001)

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Solving High-Order Boolean Parity Problems with Smooth Uniform Crossover, Sub-Machine Code GP and Demes., and . Genet. Program. Evolvable Mach., 1 (1/2): 37-56 (2000)A schema theory analysis of mutation size biases in genetic programming with linear representations, , and . CSRP-00-24. University of Birmingham, School of Computer Science, (November 2000)A schema theory analysis of the evolution of size in genetic programming with linear representations, and . CSRP-00-22. University of Birmingham, School of Computer Science, (November 2000)Evolution of Neural Networks Using Weight Mapping, and . Proceedings of the Genetic and Evolutionary Computation Conference, 2, page 1170--1177. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)Discovery of General Learning Rules for Feedforward Neural Networks with Step Activation Function using Genetic Programming, and . CSRP-99-1. University of Birmingham, School of Computer Science, (January 1999)Evolutionary Discovery of Learning Rules for Feedforward Neural Networks with Step Activation Function, and . Proceedings of the Genetic and Evolutionary Computation Conference, 2, page 1178--1183. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)Genetic Programming Can Discover Fast and General Learning Rules for Neural Networks, and . CSRP-98-3. University of Birmingham, School of Computer Science, (January 1998)Parallel Distributed Genetic Programming. Technical Report, CSRP-96-15. School of Computer Science, University of Birmingham, B15 2TT, UK, (September 1996)Schema Theorems without Expectations. Proceedings of the Genetic and Evolutionary Computation Conference, 1, page 806. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)Sub-machine-code Genetic Programming, and . CSRP-98-18. University of Birmingham, School of Computer Science, (August 1998)