Scheduling risk hierarchical optimization method based on search space reduction and application

The invention belongs to the technical field of uncertain job shop scheduling control, and discloses a scheduling risk hierarchical optimization method based on search space reduction, comprising the following steps: step 1, setting a job shop scheduling risk optimization problem: initializing sched...

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Hauptverfasser: CI TIEJUN, HU GUOZHE, YAN XUANRU, WU ZIGAO
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creator CI TIEJUN
HU GUOZHE
YAN XUANRU
WU ZIGAO
description The invention belongs to the technical field of uncertain job shop scheduling control, and discloses a scheduling risk hierarchical optimization method based on search space reduction, comprising the following steps: step 1, setting a job shop scheduling risk optimization problem: initializing scheduling problem parameter information and equipment fault information; step 2, pre-optimizing the maximum completion time based on global equilibrium search; step 3, performing multi-target risk optimization based on a control strategy BS2; and step 4, improving inspiration based on a Pareto solution set of the control strategy BS1. According to the method, the pressure of the algorithm on deep search can be reduced; the search space of the strategy combination can be decomposed and reduced, and the breadth search capability of the algorithm is improved. According to the method, due to the fact that the optimization algorithm is controlled in the area with the potential optimal solution in a layered optimization mode
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subjects CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title Scheduling risk hierarchical optimization method based on search space reduction and application
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