Optimise: a computational environment for teaching optimization in electrical engineering

• Published in: IEEE transactions on magnetics Vol. 40; no. 2; pp. 695 - 698
• Main Authors: Ramirez, J.A., Guimaraes, F.G., Campelo, F., Pereira, E.C., Barros, P.H.L., Takahashi, R.H.C., Saldanha, R.R.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-03-2004; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Computational intelligence; Condensed matter: electronic structure, electrical, magnetic, and optical properties; Education; Electrical engineering; Exact sciences and technology; Linear matrix inequalities; Magnetic properties and materials; Magnetism; Mathematics; Object oriented programming; Optimization methods; Physics; Software engineering; Software tools; Stochastic processes; Magnetic materials
• ISSN: 0018-9464; 1941-0069
• DOI: 10.1109/TMAG.2004.825328

This paper presents Optimise, a computational optimization environment tool for education in electrical engineering. Optimise has been developed using software engineering process and object-oriented programming philosophy. This educational tool incorporates a set of deterministic and stochastic methods and also a set of computational intelligence techniques. Optimise offers a friendly interface that allows the students to practice the theory learned, and also to verify and compare the features of the optimization methods. A general view of the software is presented, describing its modules and class libraries. Some optimization problems are discussed to illustrate the flexibility and power of Optimise as an educational tool.