MISO - Mixed Integer Surrogate Optimization

Software · Wed Jan 20 05:00:00 EST 2016

OSTI ID:1239112

Mueller, Juliane

MISO is an optimization framework for solving computationally expensive mixed-integer, black-box, global optimization problems. MISO uses surrogate models to approximate the computationally expensive objective function. Hence, derivative information, which is generally unavailable for black-box simulation objective functions, is not needed. MISO allows the user to choose the initial experimental design strategy, the type of surrogate model, and the sampling strategy.

• Short Name / Acronym: MISO; 004617MLTPL00
• Site Accession Number: 2016-014
• Version: 00
• Programming Language(s): Medium: X; OS: Mac OSX 10.6.4 or higher, Windows 8
• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE
• Contributing Organization: Lawrence Berkeley National Laboratory
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 1239112
• Country of Origin: United States