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IBM ILOG CPLEX Optimization Studio 12.6的图片1

IBM® ILOG® CPLEX® Optimization Studio 是分析决策支持工具箱,旨在使用数学规划和约束规划快速开发和部署优化模型。它将集成开发环境 (IDE) 与强大的优化编程语言 (OPL) 和高性能的 ILOG CPLEX 优化器求解工具结合。

IBM ILOG CPLEX Optimization Studio 支持您:

利用高性能的优化引擎

优化业务决策

使用灵活的界面和预构建的部署方案

快速开发和部署优化模型

创建现实世界的应用

,显著改善业务成果。

IBM ILOG CPLEX Optimization Studio 12.6 | 665 MB

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.

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.

Home Page

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http://www-01.ibm.com/software/integration/optimization/cplex-optimization-studio/

发布日期: 2014-02-26