Multiobjective global surrogate modeling, dealing with the 5-percent problem
نویسندگان
چکیده
منابع مشابه
Duality for the class of a multiobjective problem with support functions under $K$-$G_f$-invexity assumptions
In this article, we formulate two dual models Wolfe and Mond-Weir related to symmetric nondifferentiable multiobjective programming problems. Furthermore, weak, strong and converse duality results are established under $K$-$G_f$-invexity assumptions. Nontrivial examples have also been depicted to illustrate the theorems obtained in the paper. Results established in this paper unify...
متن کاملDealing with the Problem of Cybercrime
Lack of a universally accepted and comprehensive taxonomy of cybercrime seriously impedes international efforts to accurately identify, report and monitor cybercrime trends. There is, not surprisingly, a corresponding disconnect internationally on the cybercrime legislation front, a much more serious problem and one which the International Telecommunication Union (ITU) says requires ‘the urgent...
متن کاملDealing with the problem of employee turnover.
Employee turnover is expensive, costing American industry billions of dollars every year. It strikes operations of all sizes and is not any less devastating in the public sector than it is in the private sector. These financial costs can be classified as both direct (additional fees for recruitment, steeper assessments for unemployment taxes, and the rising expenses of payroll administration fo...
متن کاملEvolutionary Model Type Selection for Global Surrogate Modeling
Due to the scale and computational complexity of currently used simulation codes, global surrogate (metamodels) models have become indispensable tools for exploring and understanding the design space. Due to their compact formulation they are cheap to evaluate and thus readily facilitate visualization, design space exploration, rapid prototyping, and sensitivity analysis. They can also be used ...
متن کاملGlobal Sensitivity Analysis-Enhanced Surrogate (GSAS) Modeling for Reliability Analysis
Department of Civil and Environmental Engineering Vanderbilt University, Nashville, Tennessee 37235, USA Abstract An essential issue in surrogate model-based reliability analysis is the selection of training points. Approaches such as efficient global reliability analysis (EGRA) and adaptive Kriging Monte Carlo simulation (AK-MCS) methods have been developed to adaptively select training points...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Engineering with Computers
سال: 2009
ISSN: 0177-0667,1435-5663
DOI: 10.1007/s00366-009-0138-1