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  1. IBM ILOG CPLEX Optimization Studio. Transform your business decision-making with data science. IBM® ILOG® CPLEX® Optimization Studio is a prescriptive analytics solution that enables rapid development and deployment of decision optimization models using mathematical and constraint programming.

  2. en.wikipedia.org › wiki › ILOGILOG - Wikipedia

    ILOG S.A. was an international software company purchased and incorporated into IBM announced in January, 2009. It created enterprise software products for supply chain, business rule management, visualization and optimization.

    • January 2009
    • IBM ILOG
    • Enterprise software
    • 1987; 36 years ago, Paris, France
  3. Explore the digital library where you will find documentation, educational courses, reports and more to aid your success with ILOG CPLEX Optimization Studio. Developer options now available in monthly subscriptions.

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  5. Find the best solution for your planning, resource allocation problems. Try it freeView pricing. Produce precise and logical decisions for planning and resource allocation problems using the powerful algorithms of IBM ILOG CPLEX Optimizer.

  6. Introduction and Overview. Optimization – The Science of Better Decisions. How to best allocate aircrafts and crews? What to build, where and when? Optimization helps businesses: Inventory cost vs. customer satisfaction? create the best possible plans. explore alternatives and understand trade-off. respond to changes in business operations.

  7. en.wikipedia.org › wiki › CPLEXCPLEX - Wikipedia

    CPLEX. IBM ILOG CPLEX Optimization Studio (often informally referred to simply as CPLEX) is an optimization software package. History. The CPLEX Optimizer was named for the simplex method implemented in the C programming language, although today it also supports other types of mathematical optimization and offers interfaces other than C.

  8. W HAT IS ILOG CPLEX? 12 ILOG CPLEX 8.1 — GETTING STARTED What Is ILOG CPLEX? ILOG CPLEX is a tool for solving linear optimization problems, commonly referred to as Linear Programming (LP) problems, of the form: where ~ can be ≤, ≥, or =, and the upper bounds ui and lower bounds li may be positive infinity, negative infinity, or any real ...

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