Using hybrid GA-PSO algorithm to solve problem in machine scheduling

DOI10.1080/09720529.2021.1958998OpenAlexW4200196412MaRDI QIDQ5035071

Tahani Jabbar Khraibet, Wisam Kamil Ghafil

Publication date: 21 February 2022

Published in: Journal of Discrete Mathematical Sciences and Cryptography (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/09720529.2021.1958998

zbMATH Keywords

schedulingtwo-machine flow shophybrid genetic algorithm and particle swarm optimization

Mathematics Subject Classification ID

Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) General applied mathematics (00A69) General theory of mathematical modeling (00A71)

Uses Software

• Fuzzy Logic Toolbox

Cites Work

• Unnamed Item
• An \(O(n^{2})\) algorithm for the variable common due date, minimal tardy jobs bicriteria two-machine flow shop problem with ordered machines
• Minimizing tardy jobs in a flowshop with common due date
• Optimal two- and three-stage production schedules with setup times included
• Permutation flow shop scheduling with earliness and tardiness penalties
• A particle swarm optimization algorithm for hybrid flow-shop scheduling with multiprocessor tasks

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