期刊
MATHEMATICAL PROGRAMMING
卷 103, 期 2, 页码 335-356出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s10107-005-0585-4
关键词
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Results are reported of testing a number of existing state of the art solvers for global constrained optimization and constraint satisfaction on a set of over 1000 test problems in up to 1000 variables, collected from the literature. The test problems are available online in AMPL and were translated into the input formats of the various solvers using routines from the COCONUT environment. These translators are available online, too.
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