Yoel Tenne

Orcid: 0000-0003-1828-194X

Affiliations:
  • Ariel University Centre, Israel


According to our database1, Yoel Tenne authored at least 22 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Path-extrapolation in Evolutionary Algorithms.
Proceedings of the Asia Conference on Artificial Intelligence, 2023

2021
The RBF Hyperparameter in Metamodel-Assisted Evolutionary Search.
Proceedings of CECNet 2021, 2021

2017
Machine-learning in optimization of expensive black-box functions.
Int. J. Appl. Math. Comput. Sci., 2017

2016
Classifier-assisted optimization.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

2015
Initial sampling methods in metamodel-assisted optimization.
Eng. Comput., 2015

2013
An algorithm for computationally expensive engineering optimization problems.
Int. J. Gen. Syst., 2013

An Optimization Algorithm Employing Multiple Metamodels and Optimizers.
Int. J. Autom. Comput., 2013

An Analysis of the Impact of the Initial Sample on Evolutionary Metamodel-Assisted Optimization.
Appl. Artif. Intell., 2013

2012
Memetic Algorithms in the Presence of Uncertainties.
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

A model-adaptive evolutionary algorithm for optimization.
Artif. Life Robotics, 2012

A computational intelligence algorithm for simulation-driven optimization problems.
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
Handling Undefined Vectors in Expensive Optimization Problems.
Proceedings of the Applications of Evolutionary Computation, 2010

Dimensionality-reduction frameworks for computationally expensive problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A Model-Assisted Memetic Algorithm for Expensive Optimization Problems.
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
Metamodel accuracy assessment in evolutionary optimization.
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


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