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...

Operation and Power Flow Control of Multi-Terminal DC Networks for Grid Integration of Offshore Wind Farms Using Genetic Algorithms

For achieving the European renewable electricity targets, a significant contribution is foreseen to come from offshore wind energy. Considering the large scale of the future planned offshore wind farms and the increasing distances to shore, grid integration through a transnational DC network is desirable for several reasons. This article...

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...

Shape, sizing optimization and material selection based on mixed variables and genetic algorithm

In this work, we explore simultaneous designs of materials selection and structural optimization. As the material selection turns out to be a discrete process that finds the optimal distribution of materials over the design domain, it cannot be performed with common gradient-based optimization methods. In this paper, material selection is...

Multilevel design optimization of composite structures with blended laminates

This research work deals with the design and optimization of a large composite structure. In design of large structural systems, it is customary to divide the problem into many smaller independent/semi-independent local design problems. The use of composite necessitates the inclusion of ply angles as design variables. These design variables are...

Multidisciplinary design optimization of a second-generation supersonic transport aircraft using a hybrid genetic/gradient-guided algorithm.