Relaxation method for optimization of intelligent manufacturing controller unit based on equilibrium constraint programming problem

A constraint programming problem and intelligent manufacturing technology, which is applied in the direction of instruments, special data processing applications, electrical digital data processing, etc., to achieve the effect of saving time and effective algorithms

A constraint programming problem and intelligent manufacturing technology, which is applied in the direction of instruments, special data processing applications, electrical digital data processing, etc., to achieve the effect of saving time and effective algorithms

CN106529088AInactive Publication Date: 2017-03-22HUZHOU TEACHERS COLLEGE
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  • Relaxation method for optimization of intelligent manufacturing controller unit based on equilibrium constraint programming problem
  • Relaxation method for optimization of intelligent manufacturing controller unit based on equilibrium constraint programming problem
  • Relaxation method for optimization of intelligent manufacturing controller unit based on equilibrium constraint programming problem

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Embodiment Construction

[0042] In the field of intelligent manufacturing technology, the Stackelberg game model with equilibrium constraints has a wide range of applications, and can abstract certain problems into a very common MPVCC optimization model. However, due to the special structure of the equilibrium constraint, it is very difficult in the algorithm and cannot be directly calculated. For example, consider a Stackelberg game problem with equilibrium constraints abstracted from the practical problem

[0043]

[0044] where yโˆˆSOL(z) is an equilibrium constraint. This model is difficult to solve directly, so it is equivalently transformed into a t-MPVCC problem according to the method of the present invention, and becomes a general nonlinear programming after applying a classic relaxation model, which can be effectively solved by software.

[0045] For example Min-max-min problem

[0046]

[0047]

[0048] where zโˆˆR n is the independent variable, the objective function f ij (z) and ...

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Abstract

The invention relates to a relaxation method for optimization of an intelligent manufacturing controller unit based on an equilibrium constraint programming problem. The relaxation method can solve a C-stable point of MPVCC mathematical programming including vertical complementarity constraints and no longer assumes a KKT point, and an algorithm conforms to a termination criterion. The method is based on t-MPVCC mathematical programming, utilizes an MPVCC-MFCQ constraint specification to solve an approximate KKT point, replaces the KKT point with the approximate KKT point to solve an MPVCC programming problem and proves that a theoretical result is true under the MPVCC-MFCQ constraint specification, the algorithm is effective, and the method solves a problem of controlling computation of application software.

Description

technical field [0001] The invention belongs to the technical field of intelligent manufacturing, and relates to an optimization relaxation method for an intelligent manufacturing controller unit based on equilibrium constraint programming. Background technique [0002] Intelligent manufacturing is a series of manufacturing equipment with perception, reasoning and control functions, which represents the development needs of the manufacturing industry. The level of intelligent manufacturing has become an important indicator of a country's modernization level. The development of intelligent manufacturing prompts people to use the latest achievements of basic disciplines to study a new type of intelligent manufacturing system. The research object is oriented to the integration and informatization of the entire manufacturing environment. The chaotic phenomenon in the system, because the intelligent manufacturing system exchanges information with the outside during operation, th...

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Application Information

Patent Timeline
22 Mar 2017
Publication
CN106529088A
IPC
G06F17/50
CPC
G06F30/367
Inventors
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