Paper: A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives - SOCO 2012

This paper was prepared for the SOCO 2012 conference and it provides some insight into my current research project that has the general aim of enhancing currently available Evolutionary Computation methods employed for the optimization of design parameters used in the prototyping process of electrical drives. The present paper is particularly related to this earlier post regarding the treatment of expensive fitness evaluation functions in Evolutionary Computation. Here is the abstract of the article:

In this paper, we are applying a hybrid soft computing approach for optimizing the performance of electrical drives where many degrees of freedom are allowed in the variation of design parameters. The hybrid nature of our approach originates from the application of multi-objective evolutionary algorithms (MOEAs) to solve the complex optimization problems combined with the integration of non-linear mappings between design and target parameters. These mappings are based on artificial neural networks (ANNs) and they are used for the fitness evaluation of individuals (design parameter vectors). The mappings substitute very time-intensive finite element simulations during a large part of the optimization run. Empirical results show that this approach finally reduces the computation time for single runs from a few days to several hours while achieving Pareto fronts with a similar high quality.

You can download a preliminary version of the paper by clicking here or from my Downloads box (A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives - SOCO 2012.pdf). The same preliminary draft of the document can be previewed at the bottom of this post. The original publication is available at www.springerlink.com.

For citations please use the following BibTeX reference:

@INCOLLECTION{ Alexandru-CiprianZavoianu2013,
  author = {Alexandru-Ciprian Z\u{a}voianu and Gerd Bramerdorfer and Edwin Lughofer and Siegfried Silber and Wolfgang Amrhein and Erich Peter Klement},
  title = {A Hybrid Soft Computing Approach for Optimizing Design Parameters of Electrical Drives},
  booktitle = {Soft Computing Models in Industrial and Environmental Applications},
  publisher = {Springer Berlin Heidelberg},
  year = {2013},
  editor = {V\'{a}clav Sn\'{a}\u{s}el and Ajith Abraham and Emilio S. Corchado},
  volume = {188},
  series = {Advances in Intelligent Systems and Computing},
  pages = {347-358},
  doi = {10.1007/978-3-642-32922-7_36}
}