#Japan #Tokyo #AMPL #MOAI Lab #Optimization

MOAI Lab Partners with AMPL Optimization, Inc.

In an exciting development for optimization enthusiasts and industries reliant on mathematical solutions, MOAI Lab, headquartered in Koto, Tokyo, has officially entered a comprehensive distributor agreement with AMPL Optimization, Inc. Based in California, USA, and led by CEO Bill Wells, this partnership will see the launch of the powerful mathematical optimization modeling tool, AMPL, in the Japanese market.

The Importance of Mathematical Optimization

Mathematical optimization has seen a surge in relevance across various sectors due to recent technological advancements. As organizations face increasingly complex challenges, the need for effective solutions is paramount. Fields such as supply chain design, production planning, logistics, workforce allocation, and energy management are turning to optimization tools for support. The AMPL modeling language stands out for its intuitive and flexible approach, widely adopted by optimization professionals and researchers globally. With AMPL, users can model complex optimization problems in a manner closely aligned with mathematical expression, facilitating efficient solutions through various optimization solvers.

MOAI Lab: The Exclusive Distributor in Japan

With its appointment as the exclusive distributor for AMPL in Japan, MOAI Lab aims to provide comprehensive support for optimization projects by combining its expertise in mathematical optimization with the robust capabilities of the AMPL software. Beyond the AMPL tool, MOAI Lab will also offer access to leading optimization solvers, including Gurobi, CPLEX, and Xpress. By selecting solvers tailored to the nature and scale of specific problems, companies can achieve fast and accurate optimization calculations, promoting rapid decision-making and enhancing competitiveness.

What Makes AMPL Stand Out?

AMPL is a high-level modeling language designed for describing mathematical optimization models. It efficiently handles various kinds of optimization problems, including linear, integer, and nonlinear optimization, in conjunction with a range of optimization solvers. Here are some of the key features of AMPL:

• - Algebraic Representation: Allows intuitive modeling that closely resembles mathematical textbook representations.
• - Separation of Model and Data: This design feature separates the structure of optimization models (variables, objective functions, constraints) from numerical data (coefficients, bounds, etc.), enabling high model reusability and easy handling of large datasets.
• - Solver Flexibility: Users can choose from a wide range of backend optimization solvers including commercial options like Gurobi, CPLEX, and Xpress, as well as open-source solvers such as CBC, HiGHS, and SCIP, ensuring flexibility and independence from particular solvers.

• - High Expressiveness: Capable of addressing a broad array of optimization problems including linear, mixed-integer, quadratic, and nonlinear optimization.
• - Compatibility with Python: Using the `amplpy` module, users can manage data and analyze results in a Python environment while performing modeling with AMPL.
• - Stability and Reliability: Developed in the late 1980s by noted researchers like Robert Fourer, David M. Gay, and Brian W. Kernighan, AMPL has established its reliability through years of use and technical development.
• - Automatic Reformulation: The MP Library enhances solution efficiency and robustness by automatically adapting models according to solver characteristics.

For more detailed information about AMPL, including a free trial for both the modeling tool and solvers, please visit the official website: MOAI Lab Products.

About AMPL Optimization, Inc.

AMPL Optimization, Inc., founded by prominent researchers in mathematical optimization and language design, has established itself as the creator of the AMPL optimization modeling language. The tool is utilized across industries and academia, collaborating with both commercial solvers like Gurobi, CPLEX, and open-source options, contributing significantly to the proliferation of optimization technology through education and research institutions.

• - Company Name: AMPL Optimization, Inc.
• - Location: 211 Hope Street #339 Mountain View, CA 94041, USA
• - CEO: Bill Wells
• - President: Robert Fourer

About MOAI Lab

MOAI Lab was founded by leading researchers in combinatorial optimization, including Professors Hiroshi Nonobe (Hosei University) and Kubo (Tokyo University of Marine Science and Technology), and focuses on applying optimization solutions in various industries. MOAI Lab has substantial experience not only in academic activities but also in the development of optimization solutions and participation in corporate projects.

• - Company Name: MOAI Lab
• - Location: 2F Echizen-ya Building, 1-8-3 Miyoshi, Koto, Tokyo
• - Representative: Hiroshi Nonobe
• - Established: November 2024

Contact Information

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