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Optimization Software Class Libraries (Paperback, Softcover reprint of the original 1st ed. 2003)
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Optimization Software Class Libraries (Paperback, Softcover reprint of the original 1st ed. 2003)
Series: Operations Research/Computer Science Interfaces Series, 18
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Optimization problems in practice are diverse and evolve over time,
giving rise to - quirements both for ready-to-use optimization
software packages and for optimization software libraries, which
provide more or less adaptable building blocks for app-
cation-specific software systems. In order to apply optimization
methods to a new type of problem, corresponding models and
algorithms have to be "coded" so that they are accessible to a
computer. One way to achieve this step is the use of a mod- ing
language. Such modeling systems provide an excellent interface
between models and solvers, but only for a limited range of model
types (in some cases, for example, linear) due, in part, to
limitations imposed by the solvers. Furthermore, while m- eling
systems especially for heuristic search are an active research
topic, it is still an open question as to whether such an approach
may be generally successful. Modeling languages treat the solvers
as a "black box" with numerous controls. Due to variations, for
example, with respect to the pursued objective or specific problem
properties, - dressing real-world problems often requires special
purpose methods. Thus, we are faced with the difficulty of
efficiently adapting and applying appropriate methods to these
problems. Optimization software libraries are intended to make it
relatively easy and cost effective to incorporate advanced planning
methods in application-specific software systems. A general
classification provides a distinction between callable packages,
nume- cal libraries, and component libraries.
General
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