2007Machine Tool & HydraulicsRequires access

The Method Research of Hybrid Discrete Optimization Design with LINGO9.0 Software

Jirong Yang

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Abstract

The mixed optimization problems in mechanical engineering were investigated with LINGO9.0 model language.This model can obtain better and reliable optimization results than general optimization method.LINGO9.0 may find optimization problems with continuous variables and may expediently find optimization problems with integer optimization variables and discrete optimization variables in engineering.After introducing the software LINGO9.0 and emphasizing the problems in use,some optimization examples were given and their results are better than that with existing optimization method.

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What this paper is about

The mixed optimization problems in mechanical engineering were investigated with LINGO9.0 model language.This model can obtain better and reliable optimization results than general optimization method.LINGO9.0 may find optimization problems with continuous variables and may expediently find optimization problems with integer optimization variables and discrete optimization variables in engineering.After introducing the software LINGO9.0 and emphasizing the problems in use,some optimization examples were given and their results are better than that with existing optimization method.

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Available abstract

The mixed optimization problems in mechanical engineering were investigated with LINGO9.0 model language.This model can obtain better and reliable optimization results than general optimization method.LINGO9.0 may find optimization problems with continuous variables and may expediently find optimization problems with integer optimization variables and discrete optimization variables in engineering.After introducing the software LINGO9.0 and emphasizing the problems in use,some optimization examples were given and their results are better than that with existing optimization method.

Key concepts: Continuous optimization, Discrete optimization, Engineering optimization, Optimization problem, Mathematical optimization, Test functions for optimization, Computer science, Software

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