The DOI matches its Crossref record.
Nonlinear Integer and Discrete Programming in Mechanical Design Optimization
Abstract
A general purpose algorithm for the solution of nonlinear mathematical programming problems containing integer, discrete, zero-one, and continuous design variables is described. The algorithm implements a branch and bound procedure in conjunction with either an exterior penalty function or a quadratic programming method. Variable bounds are handled independently from the design constraints which removes the necessity to reformulate the problem at each branching node. Examples are presented to demonstrate the utility of the algorithm for solving design problems.
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Cited by
Ant Colony Optimization for Mixed-Variable Optimization Problems
Liao, T., Socha, K., Montes de Oca, M. A., Stutzle, T., & Dorigo, M. (2014) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2013.2281531 · Cited by 270
Metadata
- Authors
- Sandgren, E.
- Venue
- Journal of Mechanical Design
- Publisher
- ASME International
- Published
- 1990-06-01
- Volume
- 112
- Issue
- 2
- Pages
- 223-229
- ISSN
- 0161-8458 (ISSN-L)
- 1050-0472
- 1528-9001
- OpenAlex
- W2025500642
- Cited by
- 757
- References
- 0
- FWCI
- 2.76
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
