36 citations · 236 across the 52 of their papers we have counts for
5 papers · 1 filter
On the Benefits of Inoculation, an Example in Train Scheduling
Yann Semet, Marc Schoenauer
The local reconstruction of a railway schedule following a small perturbation of the traffic, seeking minimization of the total accumulated delay, is a very difficult and tightly c…
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Christian Gagné, Marc Schoenauer, Michèle Sebag +1
Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed optimization p…
Using Domain Knowledge in Evolutionary System Identification
Marc Schoenauer, Michèle Sebag
Two example of Evolutionary System Identification are presented to highlight the importance of incorporating Domain Knowledge: the discovery of an analytical indentation law in Str…
Genetic Programming, Validation Sets, and Parsimony Pressure
Christian Gagné, Marc Schoenauer, Marc Parizeau +1
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n…
Divide-and-Evolve: a New Memetic Scheme for Domain-Independent Temporal Planning
Marc Schoenauer, Pierre Savéant, Vincent Vidal
An original approach, termed Divide-and-Evolve is proposed to hybridize Evolutionary Algorithms (EAs) with Operational Research (OR) methods in the domain of Temporal Planning Prob…