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

Use of a biobjective direct search algorithm in the process design of material science applications is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1007/S11081-015-9301-2
P894zbMATH Open document ID1364.90362

P2093author name stringArthur D. Pelton
Christian Robelin
Sébastien Le Digabel
Patrice Chartrand
Jean-Philippe Harvey
Aïmen E. Gheribi
Eve Bélisle
Christopher W. Bale
P2860cites workA fast and elitist multiobjective genetic algorithm: NSGA-IIQ56112663
Chemical gradients across phase boundaries between martensite and austenite in steel studied by atom probe tomography and simulationQ56502394
Direct Multisearch for Multiobjective OptimizationQ57591835
Identifying optimal conditions for magnesium based alloy design using the Mesh Adaptive Direct Search algorithmQ58201050
Use of quadratic models with mesh-adaptive direct search for constrained black box optimizationQ58201056
Calculating optimal conditions for alloy and process design using thermodynamic and property databases, the FactSage software and the Mesh Adaptive Direct Search algorithmQ58201059
Algorithm 909Q58201068
Calculating all local minima on liquidus surfaces using the FactSage software and databases and the Mesh Adaptive Direct Search algorithmQ58201070
Globalization strategies for Mesh Adaptive Direct SearchQ58201076
OrthoMADS: A Deterministic MADS Instance with Orthogonal DirectionsQ58201079
Nonsmooth optimization through Mesh Adaptive Direct Search and Variable Neighborhood SearchQ58201081
P433issue1
P6104maintained by WikiProjectWikiProject MathematicsQ8487137
P304page(s)27-45
P577publication date2015-11-20
P1433published inOptimization and EngineeringQ15765228
P1476titleUse of a biobjective direct search algorithm in the process design of material science applications
P478volume17

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Q64062970Temperature and oxygen adsorption coupling effects upon the surface tension of liquid metalscites workP2860

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