Optimise: A computational environment for teaching optimization in electrical engineering

Jaime A. Ramírez; Frederico G. Guimarães; Felipe Campelo; Ezequiel C. Pereira; Paulo H.L. Barros; Ricardo H.C. Takahashi; Rodney R. Saldanha

doi:10.1109/TMAG.2004.825328

Optimise: A computational environment for teaching optimization in electrical engineering

Jaime A. Ramírez^*, Frederico G. Guimarães, Felipe Campelo, Ezequiel C. Pereira, Paulo H.L. Barros, Ricardo H.C. Takahashi, Rodney R. Saldanha

^*Corresponding author for this work

School of Engineering Mathematics and Technology

Research output: Contribution to journal › Article (Academic Journal) › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	695-698
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	40
Issue number	2 II
DOIs	https://doi.org/10.1109/TMAG.2004.825328
Publication status	Published - 1 Mar 2004

Keywords

Electromagnetics
Object-oriented programming
Optimization and design

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@article{e0f90187a3344b9882729791d7cb6d25,

title = "Optimise: A computational environment for teaching optimization in electrical engineering",

abstract = "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.",

keywords = "Electromagnetics, Object-oriented programming, Optimization and design",

author = "Ram{\'i}rez, \{Jaime A.\} and Guimar{\~a}es, \{Frederico G.\} and Felipe Campelo and Pereira, \{Ezequiel C.\} and Barros, \{Paulo H.L.\} and Takahashi, \{Ricardo H.C.\} and Saldanha, \{Rodney R.\}",

year = "2004",

month = mar,

day = "1",

doi = "10.1109/TMAG.2004.825328",

language = "English",

volume = "40",

pages = "695--698",

journal = "IEEE Transactions on Magnetics",

issn = "0018-9464",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

number = "2 II",

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TY - JOUR

T1 - Optimise

T2 - A computational environment for teaching optimization in electrical engineering

AU - Ramírez, Jaime A.

AU - Guimarães, Frederico G.

AU - Campelo, Felipe

AU - Pereira, Ezequiel C.

AU - Barros, Paulo H.L.

AU - Takahashi, Ricardo H.C.

AU - Saldanha, Rodney R.

PY - 2004/3/1

Y1 - 2004/3/1

N2 - 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.

AB - 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.

KW - Electromagnetics

KW - Object-oriented programming

KW - Optimization and design

UR - https://www.scopus.com/pages/publications/2342446734

U2 - 10.1109/TMAG.2004.825328

DO - 10.1109/TMAG.2004.825328

M3 - Article (Academic Journal)

AN - SCOPUS:2342446734

SN - 0018-9464

VL - 40

SP - 695

EP - 698

JO - IEEE Transactions on Magnetics

JF - IEEE Transactions on Magnetics

IS - 2 II

ER -

Optimise: A computational environment for teaching optimization in electrical engineering

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