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A Novel General Variable Neighborhood Search through Q-Learning for No-Idle Flowshop Scheduling

Year: 2020

Type: conference-paper

Source: IEEE Congress on Evolutionary Computation (CEC)

DOI: 10.1109/cec48606.2020.9185556

Authors: Hande Oztop, Mehmet Fatih Tasgetiren, Levent Kandiller, Quan-Ke Pan

Institutions: Yaşar University, Shanghai University

Language: English

Topic: Scheduling and Optimization Algorithms

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3083347893

FWCI: 7.483

Cites: 34

Cited by: 27

Related to: 10