A Data-Driven Robust Scheduling Method Integrating Particle Swarm Optimization Algorithm with Kernel-Based Estimation

A Data-Driven Robust Scheduling Method Integrating Particle Swarm Optimization Algorithm with Kernel-Based Estimation

The assembly job shop scheduling problem (AJSSP) widely exists in the production process of many complex products. Robust scheduling methods aim to optimize the given criteria for improving the robustness of the schedule by organizing the assembly processes under uncertainty. In this work, the uncer...

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Bibliographic Details
Main Authors: Peng Zheng, Peng Zhang, Ming Wang, Jie Zhang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
robust scheduling
particle swarm optimization algorithm
kernel density estimation
interval theory
Online Access:https://www.mdpi.com/2076-3417/11/12/5333

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