Effective implementation of the epsilon-constraint method in Multi-Objective Mathematical Programming problems
By George Mavrotas. Applied Mathematics and Computation, 2009
1,319 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Management, Monitoring, Policy and Law
View Paper: https://www.semanticscholar.org/paper/58ece2a7fcb8100a18e36bea547bdb0b2d08dc4b
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In Control and Systems Engineering
- A. Barbosa‐Póvoa
- Ana Carvalho
- S. Afshin Mansouri
- Mark P. McDonald
- L. Green
- Maria Isabel Gomes
- S. A. Torabi
- Sankaran Mahadevan
In Management, Monitoring, Policy and Law
- A. Barbosa‐Póvoa
- Ana Carvalho
- S. Afshin Mansouri
- Mark P. McDonald
- L. Green
- Maria Isabel Gomes
- S. A. Torabi
- Sankaran Mahadevan
Citations in the corpus
- Integrated business continuity and disaster recovery planning: Towards organizational resilience (2015, methodology): “Then, Mavrotas (2009) technique is used to generate various epsilon vectors.”
- Robustness-based design optimization under data uncertainty (2011, methodology): “[27] Mavrotas, G, Effective implementation of the e-constraint method in Multi Objective Mathematical Programming problems, Applied Mathematics and Computation 213 (2009) 455–465.”
- Towards supply chain sustainability: economic, environmental and social design and planning (2015, methodology): “Dεi 1⁄4 f max i fmin i n ; i 1⁄4 2;3: For the calculation of the range of the objective functions over the efficient set, a lexicographic optimization is performed, as described in Mavrotas (2009). In addition, to guarantee the efficiency of the obtained solutions, the method proposed by the same au”