Solving multi-objective job shop problem using nature-based algorithms: new Pareto approximation features

DOI10.11121/IJOCTA.01.2015.00232zbMath1360.90132OpenAlexW2054690755MaRDI QIDQ2980949

Jarosław Rudy, Dominik Żelazny

Publication date: 8 May 2017

Published in: An International Journal of Optimization and Control: Theories & Applications (IJOCTA) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.11121/ijocta.01.2015.00232

zbMATH Keywords

multi-objective optimizationjob shop schedulingmulti-criteria decision analysisnature inspired

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Combinatorial optimization (90C27) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20)

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