Tailoring Job Shop Scheduling Problem Instances Through Unified Particle Swarm Optimization
Problem instances are paramount when testing the performance of any learning algorithm. For this reason, it is customary to use widespread problems known as benchmark instances. Nonetheless, these are usually generated disregarding heuristics and their nature. For Job Shop Scheduling problem, resear...
Main Authors: | Alonso Vela, Jorge M. Cruz-Duarte, Jose Carlos Ortiz-Bayliss, Ivan Amaya |
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Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9418993/ |
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