Handbook of Evolutionary Computation
Handbook of Evolutionary Computation
Machine Learning
Case-Based Initialization of Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
A Mathematical Analysis of Tournament Selection
Proceedings of the 6th International Conference on Genetic Algorithms
Towards a More Efficient Evolutionary Induction of Bayesian Networks
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
The k-feature set problem is W[2]-complete
Journal of Computer and System Sciences - Special issue on Parameterized computation and complexity
Parameterized Complexity
Information Sciences: an International Journal
INPUT: the intelligent parameter utilization tool
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
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The problem of inferring genetic networks under the Temporal Boolean Network model is considered here. This is a very hard problem for which an heuristic approach is proposed. This approach is based on the use of evolutionary algorithms (EAs) to refine the results of a specialized algorithm (ID3). Experimental results provide support for the usefulness of this approach, showing a consistent enhancement of the ID3 solutions.