Details
| Original language | English |
|---|---|
| Article number | 102959 |
| Journal | Advances in engineering software |
| Volume | 153 |
| Early online date | 24 Jan 2021 |
| Publication status | Published - Mar 2021 |
Abstract
This paper presents an object-oriented optimization framework for engineering optimization using the Matlab programming syntax. The novelty of the developed framework lies in its approach to remove redundancies by providing an interface for central routines of the optimization processes. Object-oriented programming is used to implement an abstract optimizer class, which controls the optimization process and provides unified interfaces for optimization. The software architecture reduces code complexity and allows concise implementation of derivative-free algorithms and optimization tasks. Therefore, it is ideal for students and researchers to improve and develop algorithms or to solve optimization problems. The proposed framework features parallel evaluation of objective functions and handles global optimization including single-objective, multi-objective and constrained problems. In this paper, the versatility of the framework is demonstrated by using analytic test problems as well as practical engineering problems.
Keywords
- Engineering optimization, Global derivative-free optimization, Optimization framework
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Engineering(all)
- General Engineering
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In: Advances in engineering software, Vol. 153, 102959, 03.2021.
Research output: Contribution to journal › Article › Research › peer review
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TY - JOUR
T1 - EngiO – Object-oriented framework for engineering optimization
AU - Berger, Ricarda
AU - Bruns, Marlene
AU - Ehrmann, Andreas
AU - Haldar, Ayan
AU - Häfele, Jan
AU - Hofmeister, Benedikt
AU - Hübler, Clemens
AU - Rolfes, Raimund
PY - 2021/3
Y1 - 2021/3
N2 - This paper presents an object-oriented optimization framework for engineering optimization using the Matlab programming syntax. The novelty of the developed framework lies in its approach to remove redundancies by providing an interface for central routines of the optimization processes. Object-oriented programming is used to implement an abstract optimizer class, which controls the optimization process and provides unified interfaces for optimization. The software architecture reduces code complexity and allows concise implementation of derivative-free algorithms and optimization tasks. Therefore, it is ideal for students and researchers to improve and develop algorithms or to solve optimization problems. The proposed framework features parallel evaluation of objective functions and handles global optimization including single-objective, multi-objective and constrained problems. In this paper, the versatility of the framework is demonstrated by using analytic test problems as well as practical engineering problems.
AB - This paper presents an object-oriented optimization framework for engineering optimization using the Matlab programming syntax. The novelty of the developed framework lies in its approach to remove redundancies by providing an interface for central routines of the optimization processes. Object-oriented programming is used to implement an abstract optimizer class, which controls the optimization process and provides unified interfaces for optimization. The software architecture reduces code complexity and allows concise implementation of derivative-free algorithms and optimization tasks. Therefore, it is ideal for students and researchers to improve and develop algorithms or to solve optimization problems. The proposed framework features parallel evaluation of objective functions and handles global optimization including single-objective, multi-objective and constrained problems. In this paper, the versatility of the framework is demonstrated by using analytic test problems as well as practical engineering problems.
KW - Engineering optimization
KW - Global derivative-free optimization
KW - Optimization framework
UR - http://www.scopus.com/inward/record.url?scp=85099688044&partnerID=8YFLogxK
U2 - 10.1016/j.advengsoft.2020.102959
DO - 10.1016/j.advengsoft.2020.102959
M3 - Article
AN - SCOPUS:85099688044
VL - 153
JO - Advances in engineering software
JF - Advances in engineering software
SN - 0965-9978
M1 - 102959
ER -