2012Unpublished venueRequires access

Study on multi-objective optimization based on the integration of linear physical programming within collaborative optimization

Lei Li, Yan-hui Hang

Open publisher page 0 citations

Abstract

The Multidisciplinary Design Optimization (MDO) problem with multiple, conflicting objectives was hardly resolved by tradition individual disciplinary optimization design method. It is combined the MDO method with multi-objective optimization method to formulate the integration of multi-objective MDO method. This integration method could handle hierarchically optimization problems meanwhile trade off multiple objectives in the problems, based on optimization concurrently to attain consistence design. Through a mathematical example, it is verified that this method is acceptably and efficiently.

About this research paper

What this paper is about

The Multidisciplinary Design Optimization (MDO) problem with multiple, conflicting objectives was hardly resolved by tradition individual disciplinary optimization design method. It is combined the MDO method with multi-objective optimization method to formulate the integration of multi-objective MDO method. This integration method could handle hierarchically optimization problems meanwhile trade off multiple objectives in the problems, based on optimization concurrently to attain consistence design. Through a mathematical example, it is verified that this method is acceptably and efficiently.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The Multidisciplinary Design Optimization (MDO) problem with multiple, conflicting objectives was hardly resolved by tradition individual disciplinary optimization design method. It is combined the MDO method with multi-objective optimization method to formulate the integration of multi-objective MDO method. This integration method could handle hierarchically optimization problems meanwhile trade off multiple objectives in the problems, based on optimization concurrently to attain consistence design. Through a mathematical example, it is verified that this method is acceptably and efficiently.

Key concepts: Multidisciplinary design optimization, Computer science, Optimization problem, Mathematical optimization, Engineering optimization, Linear programming, Multi-objective optimization, Multidisciplinary approach

Related papers

Back to paper searchBrowse research topicsOriginal source
Study on multi-objective optimization based on the integration of linear physical programming within collaborative optimization — Research Paper | ScholarLens