منابع مشابه
Nonlinear optimization with GAMS /LGO
The Lipschitz Global Optimizer (LGO) software integrates global and local scope search methods, to handle nonlinear optimization models. This paper introduces the LGO implementation linked to the General Algebraic Modeling System (GAMS). First we review the key features and basic usage of the GAMS /LGO solver option, then present reproducible numerical results to illustrate its performance.
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The LGO solver system integrates a suite of efficient global and local scope optimization strategies. LGO can handle complex nonlinear models under ‘minimal’ (continuity) assumptions. The LGO implementation linked to the GAMS modeling environment has several new features, and improved overall functionality. In this article we review the solver options and the usage of GAMS/LGO. We also present ...
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We describe a framework for modeling optimization problems for solution on a grid computer. The framework is easy to adapt to multiple grid engines, and can seamlessly integrate evolving mechanisms from particular computing platforms. It facilitates the widely used master/worker model of computing and is shown to be exible and powerful enough for a large variety of optimization applications. In...
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ژورنال
عنوان ژورنال: Journal of Global Optimization
سال: 2006
ISSN: 0925-5001,1573-2916
DOI: 10.1007/s10898-006-9084-2