Adam Chehouri WRITE

I am very excited to share my first publication in computational intelligence. I began working on the constraint-handling technique in the month of February 2015, as I was trying to find a way to introduce the wind turbine design constraints into my optimization algorithm. Inspired the motif of preserving the core notions of evolution in genetic algorithm by refusing to add a penalty function to the fitness function, I proposed my constraint-handling technique named VCH ( Violation Constraint-Handling ). 

Authors Adam Chehouri , Rafic Younes , Adrian Ilinca , Jean Perron Abstract Within the last 20 years, wind turbines have reached matured and the growing worldwide wind energy market will allow further improvements. In the recent decades, the numbers of research papers that have applied optimization techniques in the attempt to obtain an optimal design have increased. The main target of manufacturers has been to minimize the cost of energy of wind turbines in order to compete with fossil‐fuel sources. Therefore, it has been argued that it is more stimulating to evaluate

My latest article to appear online is entitled Optimal Design for a Composite Wind Turbine Blade with Fatigue and Failure Constraints . This is the first paper I wrote in the course of my PhD, submitted to the journal of Transaction of the Canadian Society for Mechanical Engineering in January 2014, and accepted in December 2014 (Vol. 39, No. 2, 2015). 

My latest publication is a review paper titled Review of Performance Optimization Techniques Applied to Wind Turbines . I submitted my review to the journal of Applied Energy in August 2014 and it was accepted on December 21 2014. The article is now available online and should be published in Volume 132 (15 March 2015).

My recent publication is a paper accepted in the proceedings of the International Conference on Industrial Power Engineering in Bacau, Romania (CIEI 2014). Abstract This work presents an experimental stand for the study of a power electronics control system to locate and track the maximum power point of a photovoltaic (PV) array to ensure efficient power transfer from the solar cells to the load under varying environmental conditions. A real-time photovoltaic solar cell measurements and a control system was developed to guarantee that the maximum power output is attained. This stand is built at the Electrical Machinery Laboratory of “Vasile Alecsandri” University of Bacau, Romania. The full paper can be found in the  Constellation UQAC  repository and below you will find the power point presentation presented on May 22, 2014.