An adaptive population-based candidate search algorithm with surrogates for global multi objective optimization of expensive functions
Author(s) -
Christine A. Shoemaker,
Taimoor Akhtar
Publication year - 2019
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5090014
Subject(s) - tabu search , mathematical optimization , computer science , population , local search (optimization) , iterative method , set (abstract data type) , algorithm , surrogate model , mathematics , demography , sociology , programming language
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