Optimization of tandem solar cells with genetic algorithms

Tandem solar cells are a new type of solar cells that are currently being developed. Soms proporties of these solar cells are variable. In this scription, it is studied how genetic algoritms can be applied to optimize these tandem solar cells. Genetic algoritms are algorithms that find a good solution using the principles of evolution theory. It...

Optimum Layouts of a Cluster of Heaving Point Absorbers in front of a Wall

In this paper, we determine optimum layouts of a cluster of oblate spheroidal heaving point absorbers in front of a wall, that maximize the annual averaged power absorbed by the cluster, while satisfying specific spatial constraints. An iterative optimization process is developed by coupling a hydrodynamic model with a genetic algorithms solver....

Optical System Optimization Using Genetic Algorithms

The goal of this project is to investigate the performance of the Genetic Algorithms (GA) and the influence of their parameters on optical system optimization. We have developed our own code on optical system optimization using the MatLab GA module to accomplish this task. To evaluate the optical part of our code we checked the outcomes of each...

Multi-Objective Optimization for Urban Drainage Rehabilitation

Flooding in urbanized areas has become a very important issue around the world. The level of service (or performance) of urban drainage systems (UDS) degrades in time for a number of reasons. In order to maintain an acceptable performance of UDS, early rehabilitation plans must be developed and implemented. In developing countries the situation...