What is it about?
The task of multi-criteria decision-making (MCDM) is to arrive at one or more non-dominated near-Pareto-optimal solution(s) based on decision maker's (DM's) preferences. However, it is also important to arrive at objective vector solutions that have less effect or variation due to small changes or perturbations in design variables. The associated task to arrive at robust MCDM solutions is termed Multi-objective Robust Optimization and Decision-Making (MORODM). We proposed four different MORODM schemes in our work.
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Why is it important?
In engineering design, often, a component is expected to perform consistently under a small perturbation in design variables. These small perturbations can occur due to manufacturing tolerances, operating conditions, process parameters, and non-uniform material properties, among others. In such events, it is expected to arrive at a set of solutions that are robust to the small perturbations in operation conditions.
Perspectives
This paper is one of the very first attempts to combine the task of multi-objective optimization, robustness, and decision-making in a sequential and simultaneous manner. Scheme A and Scheme B perform the robust MCDM task in a sequential manner whereas Scheme C and Scheme D perform the MCDM task in a collaborative manner.
Mr DEEPANSHU Yadav
Indian Institute of Technology Madras
Read the Original
This page is a summary of: Multi-objective Robust Optimization and Decision-Making Using Evolutionary Algorithms, July 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3583131.3590420.
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