Improved method for solving problem of flexible job shop scheduling through empire competition algorithm

A workshop scheduling and flexible operation technology, applied in control/adjustment systems, program control, instruments, etc., can solve problems such as difficult to express flexible operation workshop problems, insufficient application, premature convergence, etc., to reduce computational complexity and improve quality , increasing the effect of diversity

Active Publication Date: 2017-12-15
ZHENGZHOU UNIVERSITY OF AERONAUTICS
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Problems solved by technology

[0004] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a method for solving the flexible job shop scheduling problem by an improved imperial competition algorithm, which can solve the existing imperial competition algorithm in the discrete flexible job shop scheduling problem

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  • Improved method for solving problem of flexible job shop scheduling through empire competition algorithm
  • Improved method for solving problem of flexible job shop scheduling through empire competition algorithm
  • Improved method for solving problem of flexible job shop scheduling through empire competition algorithm

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[0025] In order to make the object, technical solution and advantages of the present invention more clear, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0026] Step 1: Set the parameters of the empire competition algorithm, including: the number of countries N pop , the number of imperialist countries N imp , the number of colonial countries N col , number of iterations N iter , the internal assimilation probability P of the empire cimp , the probability of revolution within the empire P mimp , Colonial country impact factor α.

[0027] Among them, N pop =N imp +N col , 0cimp mimp <1.

[0028] The termination condition of the empire competition algorithm is: if the number of iterations N has not been reached iter When there is only one empire left, the algorithm terminates; otherwise, it runs until the number of iterations.

[0029] Explanation on the value of th...

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Abstract

The invention provides an improved method for solving a problem of flexible job shop scheduling through an empire competition algorithm, and irons out the application defects of a conventional empire competition algorithm in a discrete flexible job shop scheduling problem. Each country individual employs two-segment type integer coding for expressing one scheme, and the coding mode can adapt to multiple flexible job shop scheduling problems, and reduces the computing complexity of an algorithm. Three initialization methods are mixed to generate an initial country group method, thereby improving the quality of a group overall solution, improving the operation efficiency of the algorithm, and obtaining an optimal solution more quickly. The assimilation operation in an empire is reconstructed, and a mode of excellent information exchange between colonial countries and imperialist countries enables excellent information to be shared, thereby enabling the colonial countries to be close to the imperialist countries. The probability changing of the revolution operation in the empires is carried through the iteration times of the empire competition algorithm, thereby improving the diversity of country individuals, and preventing the premature convergence of the algorithm.

Description

technical field [0001] The invention relates to shop scheduling, in particular to a method for solving the problem of flexible job shop scheduling by an improved imperial competition algorithm. Background technique [0002] With the rapid development of advanced information technology, manufacturing technology and network technology, the needs of customers are becoming more and more diversified and personalized, new products are constantly emerging, the speed of product upgrading is accelerating, and the production mode is gradually turning to "variety of varieties, batch change". Small, pay attention to delivery time, reduce inventory" mass customer customization model. A new round of scientific and technological revolution and industrial revolution is ready to go, such as the "Industry 4.0" strategy proposed by the German industry and the "Made in China 2025" strategy proposed by China. Among them, intelligent manufacturing is one of the main development directions, and i...

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Application Information

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IPC IPC(8): G05B19/418
CPCG05B19/41865G05B2219/32252
Inventor 张国辉陈洪根王国东刘航薛丽佀庆民王永成刘星高广章
Owner ZHENGZHOU UNIVERSITY OF AERONAUTICS
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