A variance-based method to rank input variables of the mesh adaptive direct search algorithm

DOI10.1007/s11590-013-0688-4zbMath1303.90125OpenAlexW1977899896MaRDI QIDQ479211

Imen Ben Yahia, Charles Audet, Luc Adjengue

Publication date: 5 December 2014

Published in: Optimization Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11590-013-0688-4

zbMATH Keywords

direct searchblackbox optimizationranking of variables

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Related Items

Dynamic scaling in the mesh adaptive direct search algorithm for blackbox optimization, ARGONAUT: algorithms for global optimization of constrained grey-box computational problems, Irregular polyomino tiling via integer programming with application in phased array antenna design, Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO, Two decades of blackbox optimization applications, Monotonic grey box direct search optimization

Uses Software

• NOMAD
• CUTEr
• SifDec
• OrthoMADS

Cites Work

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