Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features

Evolving Many-Objective Job Shop Scheduling Dispatching Rules via Genetic Programming With Adaptive Search Based on the Frequency of Features

Job Shop Scheduling (JSS) is a critical application in diverse fields, such as cloud computing and manufacturing. Genetic Programming (GP) is acknowledged for its wide use in evolving dispatching rules for JSS, offering an automated approach to heuristic generation. A dispatching rule can use many m...

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Bibliographic Details
Main Authors: Atiya Masood, Mansoor Ebrahim, Fahad Najeeb, Syed Muhammad Daniyal
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Adaptive search
feature selection
genetic programming
hyper-heuristic
job shop scheduling
many-objective optimization
Online Access:https://ieeexplore.ieee.org/document/10955196/
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