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

DOI10.1007/s11081-015-9301-2zbMath1364.90362OpenAlexW2257539824WikidataQ58201021 ScholiaQ58201021MaRDI QIDQ2357963

Arthur D. Pelton, Eve Bélisle, Aïmen E. Gheribi, Christian Robelin, Patrice Chartrand, Jean-Philippe Harvey, Sébastien Le Digabel, Christopher W. Bale

Publication date: 20 June 2017

Published in: Optimization and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11081-015-9301-2

zbMATH Keywords

derivative-free optimizationprocess designbiobjective optimizationmesh adaptive direct searchblackbox optimizationmaterial sciencealloy design

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Multi-objective and goal programming (90C29) Derivative-free methods and methods using generalized derivatives (90C56)

Related Items

Two decades of blackbox optimization applications

Uses Software

• NOMAD
• OrthoMADS
• FactSage

Cites Work

• Nonsmooth optimization through mesh adaptive direct search and variable neighborhood search
• Globalization strategies for mesh adaptive direct search
• A mesh adaptive direct search algorithm for multiobjective optimization
• Algorithm 909
• Direct Multisearch for Multiobjective Optimization
• On the Convergence of Pattern Search Algorithms
• OrthoMADS: A Deterministic MADS Instance with Orthogonal Directions
• Multiobjective Optimization Through a Series of Single-Objective Formulations
• Introduction to Derivative-Free Optimization
• Optimization and nonsmooth analysis
• Use of quadratic models with mesh-adaptive direct search for constrained black box optimization
• A Progressive Barrier for Derivative-Free Nonlinear Programming
• Mesh Adaptive Direct Search Algorithms for Constrained Optimization
• Nonlinear programming without a penalty function.