Improved immune algorithm for global numerical optimization and job-shop scheduling problems

DOI10.1016/j.amc.2007.04.038zbMath1193.90114OpenAlexW2085354370MaRDI QIDQ990689

Jinn-Tsong Tsai, Tung-Kuan Liu, Jyh-Horng Chou, Wen-Hsien Ho

Publication date: 1 September 2010

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2007.04.038

zbMATH Keywords

immune algorithmtaguchi methodjob-shop scheduling problemsnumerical optimization problems

Mathematics Subject Classification ID

Epidemiology (92D30) Numerical mathematical programming methods (65K05) Deterministic scheduling theory in operations research (90B35)

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Uses Software

• Genocop

Cites Work

• A genetic algorithm applied to a classic job-shop scheduling problem
• Design of Optimal Digital IIR Filters by Using an Improved Immune Algorithm
• An effective hybrid optimization strategy for job-shop scheduling problems
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