Use of a biobjective direct search algorithm in the process design of material science applications

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This work describes the application of a direct search method to the optimization of problems of real industrial interest, namely three new material science applications designed with the FactSage software. The search method is BiMADS, the biobjective version of the mesh adaptive direct search (MADS) algorithm, designed for blackbox optimization. We give a general description of the algorithm, and, for each of the three test cases, we describe the optimization problem, discuss the algorithmic choices, and give numerical results to demonstrate the efficiency of BiMADS for real cases of alloy and process design.

, 17 pages

This cahier was revised in August 2015

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Optimization and Engineering, 17(1), 27–45, 2016 BibTeX reference


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