S. B. Hamida

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An Adaptive Algorithm for Constrained Optimization Problems

Sana Ben Hamida, Marc Schoenauer, Marc Schoenauer, 2000, PPSN.

PARAMETRIC CODING VS GENETIC PROGRAMMING : A CASE STUDY

Marc Schoenauer, A. Racine, S. Ben Hamida, 1999 .

Extension of Evolutionary Algorithms to Constrained Optimization

Sana Ben Hamida, S. B. Hamida, 2016 .

Genetic Algorithm for Community Detection in Biological Networks

Amel Borgi, Sana Ben Hamida, Marwa Ben M'Barek, 2018, KES.

Genetic Algorithm to Detect Different Sizes' Communities from Protein-Protein Interaction Networks

Amel Borgi, Marta Rukoz, Sana Ben Hamida, 2019, ICSOFT.

GA-PPI-Net: A Genetic Algorithm for Community Detection in Protein-Protein Interaction Networks

Amel Borgi, Marta Rukoz, Sana Ben Hamida, 2019, ICSOFT.

Generic GA-PPI-Net: Generic Evolutionary Algorithm to Detect Semantic and Topological Biological Communities

Amel Borgi, Marta Rukoz, Sana Ben Hamida, 2020, ICSOFT.

The need for improving the exploration operators for constrained optimization problems

Sana Ben Hamida, A. Petrowski, A. Pétrowski, 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

A logarithmic mutation operator to solve constrained optimization problems

S. Ben Hamida, A. Petrowski, A. Pétrowski, 1999 .

Towards a Better Understanding of Genetic Operators for Ordering Optimization: Application to the Capacitated Vehicle Routing Problem

Sana Ben Hamida, R. Gorsane, K. Gorsan Mestiri, 2020, ICSOFT.

Extending DEAP with Active Sampling for Evolutionary Supervised Learning

Sana Ben Hamida, Ghita Benjelloun, S. B. Hamida, 2021, ICSOFT.

Applying Dynamic Training‐Subset Selection Methods Using Genetic Programming for Forecasting Implied Volatility

Sana Ben Hamida, Wafa Abdelmalek, Fathi Abid, 2016, Comput. Intell..

Adaptive sampling for active learning with genetic programming

Amel Borgi, Marta Rukoz, Sana Ben Hamida, 2021, Cognitive Systems Research.

Hybrid Method for Optimal Quantization of the Normal Distribution

Sana Ben Hamida, S. B. Hamida, 2014 .

Sampling Methods in Genetic Programming Learners from Large Datasets: A Comparative Study

Amel Borgi, Marta Rukoz, Sana Ben Hamida, 2016, INNS Conference on Big Data.

Hierarchical Data Topology Based Selection for Large Scale Learning

Amel Borgi, Marta Rukoz, Sana Ben Hamida, 2016, 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld).

Selecting the Best Forecasting-Implied Volatility Model Using Genetic Programming

Sana Ben Hamida, Wafa Abdelmalek, Fathi Abid, 2009, Adv. Decis. Sci..

A new adaptive sampling approach for Genetic Programming

Amel Borgi, Marta Rukoz, Sana Ben Hamida, 2019, 2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS).

Genetic Programming over Spark for Higgs Boson Classification

Amel Borgi, Marta Rukoz, Sana Ben Hamida, 2019, BIS.

Dynamic Hedging using Generated Genetic Programming Implied Volatility Models pdf

Sana Ben Hamida, Wafa Abdelmalek, Fathi Abid, 2012, ArXiv.

Two Evolutionary Approaches to Design Phase Plate for Tailoring Focal-Plane Irradiance Profile

Sana Ben Hamida, Marc Schoenauer, Alain Racine, 1999, Artificial Evolution.

Scale Genetic Programming for large Data Sets: Case of Higgs Bosons Classification

Amel Borgi, Marta Rukoz, Sana Ben Hamida, 2018, KES.

Trends of Evolutionary Machine Learning to Address Big Data Mining

Sana Ben Hamida, Hmida Hmida, Ghita Benjelloun, 2021, ICIKS.