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Optimization services (OS).
~
Ma, Jun.
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Optimization services (OS).
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Optimization services (OS)./
作者:
Ma, Jun.
面頁冊數:
317 p.
附註:
Source: Dissertation Abstracts International, Volume: 66-06, Section: B, page: 3346.
Contained By:
Dissertation Abstracts International66-06B.
標題:
Engineering, Industrial. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3177769
ISBN:
9780542173585
Optimization services (OS).
Ma, Jun.
Optimization services (OS).
- 317 p.
Source: Dissertation Abstracts International, Volume: 66-06, Section: B, page: 3346.
Thesis (Ph.D.)--Northwestern University, 2005.
This doctoral thesis presents a general optimization system design introduced under our new concept of Optimization Services (OS) along with its Optimization Services Protocol (OSP). Optimization Services is intended to be a unified framework for the next generation distributed optimization systems, mainly optimization over the Internet. Thus Optimization Services can be regarded as the Operations Research Internet. The corresponding Optimization Services Protocol is intended to be a set of industrial standards.
ISBN: 9780542173585Subjects--Topical Terms:
626639
Engineering, Industrial.
Optimization services (OS).
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This doctoral thesis presents a general optimization system design introduced under our new concept of Optimization Services (OS) along with its Optimization Services Protocol (OSP). Optimization Services is intended to be a unified framework for the next generation distributed optimization systems, mainly optimization over the Internet. Thus Optimization Services can be regarded as the Operations Research Internet. The corresponding Optimization Services Protocol is intended to be a set of industrial standards.
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Optimization Services framework is an XML-based, service-oriented, optimization-centered, distributed and decentralized architecture. The Optimization Services Protocol is an application level networking protocol that includes over 20 sub-protocols of Optimization Services x Languages (OSxL). Optimization within a local environment is treated as a special case; issues within a local environment are mostly addressed under the distributed case.
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Although large-scale optimization has been under research for over half a century now, the challenge of making it useful in practice has continued to the present day. Initially, the greatest difficulties were posed by solution computation and model building, but the primary impediment to broader use of optimization models and methods today is now more of communication . Currently there exists an abundance of optimization solvers and other supporting tools, various formats to represent optimization problems, and heterogeneous mechanisms to communicate with optimization components. Moreover different optimization components are implemented in different programming and modeling languages and located on different platforms locally or over the network. Even if a prospective user is not puzzled by such a plethora of combinations, the trouble of obtaining, installing, and configuring the software does not justify the benefits from using it.
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Through standardization of representation, communication, discovery and registration, the framework provides an open infrastructure for all optimization system components including modeling language environments, servers, registries, communication agents, interfaces, analyzers, solvers and simulations. The goal is that all the algorithmic codes are implemented as services under this framework and customers use these computational services similar to daily utility services. Optimization Services also facilitates a healthier development environment for research and development in the general area of Operations Research and Management Sciences.
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