Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Using Genetic Algorithms for Concept Learning
Machine Learning - Special issue on genetic algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
| Hi-index | 0.07 |
In this project we try to improve the structure of a Knowledge Base (KB) by creating anew a Base which has the same behaviour as the original one. The new KB is built with a genetic system, such that the new structure is optimal: redundancies and inconsistancies are avoided. Two directions have been focused on: the adaptation of encoding so that any complex problem can easily be treated, and the definition of parameters that the user can adjust to fit better a given problem. The system can be used to simplify the structure of a KB, to put together several KBs into a single nonredundant KB, to have the KB evolving to new knowledge, and to test a KB with a set of examples and finally, to induce a KB from examples. The system is based on a very straightforward coding that allows simplicity and robustness.