A genetic regulatory network based method for multi-objective sequencing problem in mixed-model assembly lines
From MaRDI portal
Publication:2160641
DOI10.3934/MBE.2019059zbMath1497.92100OpenAlexW2916987975WikidataQ92853258 ScholiaQ92853258MaRDI QIDQ2160641
Publication date: 3 August 2022
Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/mbe.2019059
differential equationmultiple objectivesgenetic regulatory networkgene regulationsequencing problemmixed-model assembly line
Uses Software
Cites Work
- Models for assembly line balancing by temporal, spatial and ergonomic risk attributes
- A posterior probability approach for gene regulatory network inference in genetic perturbation data
- Balancing two-sided U-type assembly lines using modified particle swarm optimization algorithm
- Solving mixed model sequencing problem in assembly lines with serial workstations with work overload minimisation and interruption rules
- A scatter search based hyper-heuristic for sequencing a mixed-model assembly line
- Multi-criteria sequencing problem for a mixed-model assembly line in a JIT production system
- A genetic algorithm for multiple objective sequencing problems in mixed model assembly lines.
- Critical transitions in a model of a genetic regulatory system
- Car sequencing versus mixed-model sequencing: a computational study
- A multi-objective genetic algorithm for mixed-model sequencing on JIT assembly lines
- An adaptive genetic algorithm approach for the mixed-model assembly line sequencing problem
This page was built for publication: A genetic regulatory network based method for multi-objective sequencing problem in mixed-model assembly lines
