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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dellino, Gabriella Lino, Paolo Meloni, Carlo Rizzo, Alessandro |
| Copyright Year | 2006 |
| Description | Author affiliation: Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, via Re David 200, 70125, ITALY (Lino, Paolo; Meloni, Carlo; Rizzo, Alessandro) || Dipartimento di Matematica, Università di Bari, via E. Orabona 4, 70125, ITALY (Dellino, Gabriella) |
| Abstract | In this work, the multidisciplinary design optimization (MDO) methodology is applied to a case arising in the automotive engineering in which the design optimization of mechanical and control features of a system are simultaneously carried out with an evolutionary algorithm based method. The system under study is the regulator of the injection pressure of an innovative Common Rail system for Compressed Natural Gas (CNG) automotive engines, whose engineering design includes several practical and numerical difficulties. To tackle such a situation, this paper proposes a constrained multi-objective optimization method, that pursues the Pareto-optimality on the basis of fitness functions that capture domain specific design aspects as well as static and dynamic objectives. The proposed scheme provides ways to incorporate the designers specific knowledge, from interactive actions to simulation based analysis or surrogate-assisted evolution. The computational experiments show the ability of the method for finding a relevant and satisfactory set of efficient solutions. |
| Starting Page | 2689 |
| Ending Page | 2694 |
| File Size | 260751 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780397975 |
| DOI | 10.1109/CACSD-CCA-ISIC.2006.4777064 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-04 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Rails Regulators Railway engineering Evolutionary computation Pressure control Control systems Natural gas Engines Design optimization Automotive engineering |
| Content Type | Text |
| Resource Type | Article |
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