Multi-objective bi-level programming for the energy-aware integration of flexible job shop scheduling and multi-row layout

DOI10.3390/a11120210zbMath1461.90144OpenAlexW2903811113WikidataQ128719313 ScholiaQ128719313MaRDI QIDQ1712074

Ruilin Pan, Haijiang Ge, Yujuan Wu, Hongliang Zhang

Publication date: 21 January 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a11120210

zbMATH Keywords

energy consumptionbi-level programming modelimproved multi-objective hierarchical genetic algorithmintegration of FJSSP and MRWLP

Mathematics Subject Classification ID

Mixed integer programming (90C11) Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35)

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Cites Work

• A semidefinite optimization-based approach for global optimization of multi-row facility layout
• An improved shuffled frog-leaping algorithm for flexible job shop scheduling problem
• Genetic algorithm for mixed integer nonlinear bilevel programming and applications in product family design
• Formulating and solving sustainable stochastic dynamic facility layout problem: a key to sustainable operations
• An overview of bilevel optimization