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- W44187364 abstract "Global Optimization software packages for solving Mixed-Integer Non-linear Optimization Problems are usually complex pieces of codes. Some of the difficulties involved in coding a good GO software are: embedding third-party local optimization codes within the main global optimization algorithm; providing efficient memory representations of the optimization problem; making sure that every part of the code is fully reentrant. Finding good software engineering solutions for these difficulties is not enough to make sure that the outcome will be a GO software that works well. However, starting from a sound software design makes it easy to concentrate on improving the efficiency of the global optimization algorithm implementation. In this paper we discuss the main issues that arise when writing a global optimization software package, namely software architecture and design, symbolic manipulation of mathematical expressions, choice of local solvers and implementation of global solvers." @default.
- W44187364 created "2016-06-24" @default.
- W44187364 creator A5046138085 @default.
- W44187364 date "2006-06-21" @default.
- W44187364 modified "2023-09-23" @default.
- W44187364 title "Writing Global Optimization Software" @default.
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- W44187364 doi "https://doi.org/10.1007/0-387-30528-9_8" @default.
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