Automatic Recurrent and Feed-Forward ANN Rule and Expression Extraction with Genetic Programming
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Computational Intelligence: Concepts to Implementations
Computational Intelligence: Concepts to Implementations
Introduction to the special issue: Trends in evolutionary methods for program induction
Evolutionary Computation
Open issues in genetic programming
Genetic Programming and Evolvable Machines
Quantum-inspired evolutionary algorithms: a survey and empirical study
Journal of Heuristics
ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
Artificial Intelligence Review
A Historical Perspective on the Evolution of Executable Structures
Fundamenta Informaticae
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An effort is made to improve the performance of the learning machine described in Part I, and the over-all effect of various changes is considered. Comparative runs by machines without the scoring mechanism indicate that the grading of individual instructions can aid in the learning process. A related study is made in which automatic debugging of programs is taken as a special case of machine search. The ability to partition problems and to deal with parts in order of difficulty proves helpful.