Yoel Tenne
Orcid: 0000-0003-1828-194XAffiliations:
- Ariel University Centre, Israel
According to our database1,
Yoel Tenne
authored at least 22 papers
between 2005 and 2023.
Collaborative distances:
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Bibliography
2023
Proceedings of the Asia Conference on Artificial Intelligence, 2023
2021
Proceedings of CECNet 2021, 2021
2017
Int. J. Appl. Math. Comput. Sci., 2017
2016
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016
2015
2013
Int. J. Gen. Syst., 2013
Int. J. Autom. Comput., 2013
An Analysis of the Impact of the Initial Sample on Evolutionary Metamodel-Assisted Optimization.
Appl. Artif. Intell., 2013
2012
Proceedings of the Handbook of Memetic Algorithms, 2012
A hybrid model-classifier framework for managing prediction uncertainty in expensive optimisation problems.
Int. J. Syst. Sci., 2012
A computational intelligence algorithm for expensive engineering optimization problems.
Eng. Appl. Artif. Intell., 2012
Adv. Eng. Softw., 2012
2011
A Classifier-Assisted Framework for Expensive Optimization Problems: A Knowledge-Mining Approach.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011
2010
Proceedings of the Applications of Evolutionary Computation, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Proceedings of the Nature-Inspired Algorithms for Optimisation, 2009
A framework for memetic optimization using variable global and local surrogate models.
Soft Comput., 2009
2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
A Memetic Algorithm Using a Trust-Region Derivative-Free Optimization with Quadratic Modelling for Optimization of Expensive and Noisy Black-box Functions.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007
2006
A Novel Evolutionary Algorithm for Efficient Minimization of Expensive Black-box Functions with Assisted-Modelling.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
Efficiently minimizing expensive cost functions with a hybrid evolutionary algorithm using clustering and a derivative-free optimizer: preliminary results.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005