商品名稱： IBM ILOG CPLEX Optimization Studio v12.3
商品分類： IBM系列程式軟體
商品類型： 用於開發基於優化的分析型決策支援應用的綜合工具包軟體
語系版本： 英文正式版
運行平台： Windows XP/Vista/7
更新日期： 2012-03-03
破解說明:
check crack\install.txt
內容說明:
可為最佳化模型提供快速開發與部署。
IBM ILOG CPLEX Optimization Studio可提供最有效的數學規劃與限制規劃模型建置方
法，以利您追蹤複雜的規劃與排程問題。
IBM ILOG CPLEX Optimization Studio 合併及簡化IBM 的最佳化模型開發、求解與部
署產品。
本產品提供單一套件，其中涵蓋在先前系列產品與元件配置中可用的所有功能，以便您
在原型化與開發期間能夠運用所有工具與技術。
開發、偵錯、測試、調整及部署最佳化模型。
若要求解最佳化模型，可運用適用於數學規劃的IBM ILOG CPLEX Optimizers及/或適用
於限制規劃與限制型排程的IBM ILOG CPLEX CP Optimizer。
資料及執行管理：使用主要關聯式資料庫與試算表做為資料來源。
模型/資料分隔可讓模型在資料來源之間切換，如此可促進測試及部署階段中的移轉。
衝突偵測/顯示與建議的衝突解決：運用CPLEX Optimizer的衝突重新調整程式， 來偵
測及顯示不可行模型中的衝突限制。
根據使用者定義的優先順序來放寬限制。
執行追蹤與側寫：可完整存取CPLEX Optimizer與CP Optimizer 的日誌檔， 從而追蹤
求解程式。 運用側寫程式來瞭解執行程式之不同階段的記憶體與時間使用情形。
自動調整效能：運用IBM ILOG CPLEX Optimizer調整工具， 自動調整數學規劃模型的
引擎效能。
應用程式設計介面：透過多種規劃語言，包括Java、C++ 和.NET，為CPLEX Optimizer
和CP Optimize 的開發及部署引擎提供多種介面與連接器， 此外也提供替代性協力廠
商建模介面。 應用程式開發及部署：自動產生最佳化決策支援應用程式（其中含有假
設情境比較功能以及表格與圖形資料檢視），並且部署選用的IBM ILOG ODM Enterprise。
IBM ILOG CPLEX Optimization Studio 合併及簡化IBM 的最佳化模型開發、求解與部
署產品。
本產品提供單一套件，其中涵蓋在先前系列產品與元件配置中可用的所有功能等等，以
便您在原型化與開發期間能夠運用所有工具與技術。
最新版本：IBM ILOG CPLEX Optimization Studio 12.2 提供：更快速的MIP解決方案，
特別是在多重處理器機器上；改良的協力廠商建模工具連接器；在IDE中使用的圖形檢
視，包括甘特圖(Gantt)，另外還提供累積函數；改良的詳細排程模型語法支援；以及
用於限制規劃搜尋與傳送的其他API 支援。
英文說明:
CPLEX Optimization Studio speeds development and
deployment of optimization models, combining leading
solver engines with a tightly integrated IDE and
modeling language.
Speed development and deployment of optimization
models, using linear/quadratic, mixed integer, and
constraint programming and constraint-based
scheduling. Ensure reliable development and
maintenance using a transparent modeling language
and intuitive tools for model testing, profiling,
and tuning.
* Solving with mathematical programming: Complete
access to a powerful MP solver through the IDE,
API, or via third party applications.
* Solving with constraint programming: Access to an
outstanding and proven CP solver as well, through
the IDE, API, or via third party applications.
* Modeling: Create optimization models and extend
optimization algorithms using the OPL modeling
language, the ILOG Concert APIs, or numerous other
interfaces and connectors.
* Developing: Develop, debug, test, and tune
analytical decision support applications.
* Deploying: Deploy analytical decision support
applications.
IBM ILOG CPLEX Optimization Studio provides the
fastest way to build efficient optimization models
and state-of-the-art applications for the full range
of planning and scheduling problems. The
Optimization Programming Language (OPL) provides a
natural representation of optimization models,
requiring far less effort than general-purpose
programming languages. The Integrated Development
Environment (IDE) makes it easy to evaluate
different modeling approaches and to integrate
external data. With its built-in development tools,
it supports the entire model development process.
In addition to accessing the IBM ILOG CPLEX
Optimizers for mathematical programming and
constraint programming through the OPL language and
IDE, IBM ILOG CPLEX Optimization Studio also
provides access through the ILOG Concert Technology
API in C++, Java, or Microsoft .NET, or through the
CPLEX Callable Library. Alternatively, IBM ILOG ODM
Enterprise embeds and integrates the modules of IBM
ILOG CPLEX Optimization Studio to generate
state-of-the-art enterprise decision support
applications with what-if scenario comparison
capabilities and tabular and graphic data views.
The IBM ILOG CPLEX Optimization Studio delivers the
tools to create both well-tested and finely tuned
optimization models and interactive analytical
decision-support applications. Advanced features
help users develop complete optimization
applications-without requiring detailed knowledge of
computer programming.
* IBM ILOG CPLEX Optimization Studio combines and
simplifies IBM's product offerings for
optimization application development, solving, and
deployment. It offers in a single package, all the
functionality that was previously available among
an array of product and component configurations,
making all tools and technologies available during
prototyping and development.
* Natural representation of optimization problems.
Compared to conventional programming languages,
Optimization Programming Language (OPL) represents
optimization problems descriptively, simplifying
model development. OPL provides a rich toolkit to
address a variety of problem types, allowing
comparisons of alternative and hybrid solution
methodologies.
* Support for two optimization technologies. The IBM
ILOG CPLEX Optimization Studio is designed to
support IBM ILOG CPLEX Optimizer -the world's
leading mathematical programming optimization
engine, as well as IBM ILOG CPLEX CP Optimizer,
our state-of-the-art constraint programming engine
for solving sequencing, resource allocation and
timetabling problems that are difficult or
impossible to solve with mathematical programming
techniques. IBM ILOG CPLEX Optimization Studio
allows users to develop single models in either
technology or multi-model solutions that use
either or both technologies. Interval-based
scheduling support is available. It is based on
the "model and run" concept: Robust search
algorithms and automatic search parameter settings
allow users to concentrate on modeling without
being worried about the search itself.
* A full-featured scripting language. OPL Script is
a full-featured JavaScript language for data
pre-processing, solution post-processing, and
algorithmic flow control. OPL Script also makes it
easy to solve complex problems by combining or
sequencing related models.
* Integrated application programming interfaces
(APIs). Models created by IBM ILOG CPLEX
Optimization Studio can be easily integrated into
external applications written in Java, C++ or
.NET, without having to rewrite the model in other
programming languages.
* Connections to spreadsheets and relational
databases. IBM ILOG CPLEX Optimization Studio can
import data and export solutions to databases or
spreadsheets. A clean separation of the model from
the data makes it easy to switch between test data
files and production data sources.
* An interactive development environment. The IBM
ILOG CPLEX Optimization Studio integrated
development environment (IDE) supports model
development, data and parameter combinations
testing, and results reviews. The implementation
of IBM ILOG CPLEX Optimization Studio's "Run
Configuration" concept allows users to evaluate
different modeling approaches to a problem with
the same data, and/or different data sets with a
given model, and to experiment with different
algorithmic control parameter settings that
combine models, data and parameter settings into
run configurations.
* Conflict detection/display and recommended
conflict resolution. Detect and display
conflicting constraints in infeasible models using
CPLEX Optimizer's conflict refiner. Relax
constraints based on user defined priorities.
* Execution tracing and profiling. Full access to
CPLEX Optimizer and CP Optimizer log files enables
tracking the solve progress. Use profiler to
understand use of memory and time by different
phases of the execution process.
* Automatic performance tuning. Use the IBM ILOG
CPLEX Optimizer tuning tool to automatically tune
engine performance on mathematical programming
models.
* Automatic application generation. IBM ILOG CPLEX
Optimization Studio and IBM ILOG ODM Enterprise
have made it possible to automatically generate an
IBM ILOG ODM Enterprise application from the
structure of an OPL model. A simple wizard-guided
step provides the initial application. OPL data
structures are automatically mapped to data tables
in IBM ILOG ODM Enterprise, decision variables and
solution metrics are mapped to solution views, and
objective functions are mapped to IBM ILOG ODM
Enterprise's interactive business goals.
Constraints marked as relaxable in the OPL model
are exposed to the end user by name and priority,
allowing relaxations and trade-offs based on
business importance.
* Latest version. IBM ILOG CPLEX Optimization Studio
12.3 offers faster MIP solutions, especially on
multiprocessor machines, improved connectors to
3rd party modeling tools, new graphical views in
the IDE including Gantt charts and cumulative
functions, improved syntactical support for
detailed scheduling models, and additional API
support for constraint programming search and
propagation.
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