Efficiently minimizing expensive cost functions with a hybrid evolutionary algorithm using clustering and a derivative-free optimizer: preliminary results. - Yoel Tenne; Steven William Armfield (Congress on Evolutionary Computation, 2005)

A Novel Evolutionary Algorithm for Efficient Minimization of Expensive Black-box Functions with Assisted-Modelling. - Yoel Tenne; Steven William Armfield (IEEE Congress on Evolutionary Computation, 2006)

A Memetic Algorithm Using a Trust-Region Derivative-Free Optimization with Quadratic Modelling for Optimization of Expensive and Noisy Black-box Functions. - Yoel Tenne; Steven William Armfield (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

Metamodel accuracy assessment in evolutionary optimization. - Yoel Tenne; Steven William Armfield (IEEE Congress on Evolutionary Computation, 2008)

A framework for memetic optimization using variable global and local surrogate models. - Yoel Tenne; Steven William Armfield (Soft Comput., 2009)

A Model-Assisted Memetic Algorithm for Expensive Optimization Problems. - Yoel Tenne (Nature-Inspired Algorithms for Optimisation, 2009)

Dimensionality-reduction frameworks for computationally expensive problems. - Yoel Tenne; Kazuhiro Izui; Shinji Nishiwaki (IEEE Congress on Evolutionary Computation, 2010)

Handling Undefined Vectors in Expensive Optimization Problems. - Yoel Tenne; Kazuhiro Izui; Shinji Nishiwaki (EvoApplications (1), 2010)

A Classifier-Assisted Framework for Expensive Optimization Problems: A Knowledge-Mining Approach. - Yoel Tenne; Kazuhiro Izui; Shinji Nishiwaki (LION, 2011)

A computational intelligence algorithm for simulation-driven optimization problems. - Yoel Tenne (Adv. Eng. Softw., 2012)

A model-adaptive evolutionary algorithm for optimization. - Yoel Tenne; Kazuhiro Izui; Shinji Nishiwaki (Artif. Life Robotics, 2012)

A computational intelligence algorithm for expensive engineering optimization problems. - Yoel Tenne (Eng. Appl. Artif. Intell., 2012)

A hybrid model-classifier framework for managing prediction uncertainty in expensive optimisation problems. - Yoel Tenne; Kazuhiro Izui; Shinji Nishiwaki (Int. J. Syst. Sci., 2012)

Memetic Algorithms in the Presence of Uncertainties. - Yoel Tenne (Handbook of Memetic Algorithms, 2012)

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

An Optimization Algorithm Employing Multiple Metamodels and Optimizers. - Yoel Tenne (Int. J. Autom. Comput., 2013)

An algorithm for computationally expensive engineering optimization problems. - Yoel Tenne (Int. J. Gen. Syst., 2013)

Initial sampling methods in metamodel-assisted optimization. - Yoel Tenne (Eng. Comput., 2015)

Classifier-assisted optimization. - Yoel Tenne (SETN, 2016)

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

The RBF Hyperparameter in Metamodel-Assisted Evolutionary Search. - Yoel Tenne (CECNet, 2021)

Path-extrapolation in Evolutionary Algorithms. - Yoel Tenne (AIMLR, 2023)