DoorDash optimizes complex deliveries up to 100x faster with FICO® Xpress Optimization

Case Study Challenge: Increase the speed and complexity of solving delivery matching problems in order to improve delivery time and efficiency for each order. Solution: FICO® Xpress Optimization Results: Using FICO’s optimization solver on a mixed integer problem (MIP), DoorDash has improved solving time by 10-100x and can now assign multiple orders to each driver to…

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OPTIMIZATION DIRECT AT INFORMS 2020 BUSINESS ANALYTICS CONFERENCE, ORLANDO FL, April 14-16 2024

HOW TO DEPLOY APPLICATIONS THAT COMBINE MACHINE LEARNING/DEEP LEARNING TOOLS AND OPTIMIZATION TECHNOLOGIES SUCH AS XPRESS/ ODH|XPRESS Presented by: Robert Ashford Organizations are increasingly hiring Data Scientists with Open Source skills. They leverage the capabilities and work with Open Source tools like R, Python, Spark, as well as integration with FICO-XPRESS and large data. Come…

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Optimization Direct will present at the FICO Technology Workshop at the INFORMS Annual meeting.

We will present at the FICO Technology Workshop at INFORMS https://meetings.informs.org/wordpress/phoenix2023/exhibitor-workshops/#fico Presented by: Robert Ashford Saturday, October 14, 4-6:30 pm, Location: CC-North 121 B ODH-XPRESS Integration ODH is a software package from Optimization Direct Inc. that runs concurrently with MIP optimizers like FICO Xpress to accelerate and extend their capabilities for large and difficult optimization…

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Optimization Direct has entered into an agreement with FICO to resell FICO Xpress.

Optimization Direct has partnered with and entered into a distribution agreement with FICO. Combining the founders’ industry and software experience and FICO’s Xpress product with the arsenal of Optimization modeling and solving tools from FICO provides customers with the most powerful capabilities in the industry. FICO Xpress solves large-scale optimization problems and enables better business decisions…

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Optimization Direct Releases Version of ODHeuristics with Support for the Gurobi Optimizer

HARRINGTON PARK Nj. & BEAVERTON, Ore. October 7 2022. During the last 20 years, Mixed Integer Programming (MIP) problems have become more complex, larger, and equally complex to run. ODHeuristics (ODH) is a new algorithm created by Optimization Direct, designed to run on modern multiprocessor machines. Many cores (24+ ideal) are exploited by the ODH engine…

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Optimization Direct at INFORMS 2022 ANNUAL MEETING, Indianapolis IN, October 16-19, 2022

We are holding technology tutorials and workshops at INFORMS Technology Tutorial at INFORMS ODH Python Primer Presented by: Robert Ashford Monday, October 17, 11:40am-12:15pm   This short tutorial shows participants how to build a basic model using the ODH|CPLEX in Python. This session includes setting the Python environment, reading data from a csv or spreadsheet,…

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REDISTRICTING WITH OPTIMIZATION

Political redistricting through mathematical optimization.

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FAIR AND ECONOMICAL REDISTRICTING THROUGH MATHEMATICAL OPTIMIZATION NOW POSSIBLE

Political redistricting can now be completed quickly, fairly and economically through mathematical optimization.

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ODH-CPLEX SOLVER IN AIMMS PLATFORM

A webinar featuring Optimization Direct Experts. In Partnership with AIMMS. Replay now available.

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COMBINING MACHINE LEARNING AND MATHEMATICAL OPTIMIZATION – Part 5

Article five of five In our first article we identified four scenarios where Machine Learning can cooperate with Mathematical Optimization. Here we identify further reading of two notable resources that can help us learn more about this topic. We encourage practitioners to review these two articles. Machine learning for combinatorial optimization: A methodological tour d’horizon…

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COMBINING MACHINE LEARNING AND MATHEMATICAL OPTIMIZATION – Part 4

Article four of five In our first article we identified four scenarios where Machine Learning can cooperate with Mathematical Optimization. In this article, we will consider Scenario D which is defined as follows: ML can be used to help MOPT solvers to perform better not only for finding solutions faster but for finding more good…

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COMBINING MACHINE LEARNING AND MATHEMATICAL OPTIMIZATION – Part 3

Article three of five In our first article we identified four scenarios where Machine Learning can cooperate with Mathematical Optimization. In this article, we will consider Scenario A and present an example. Scenario A is defined as: ‘The output of ML is input to MOPT.’ This scenario is defined as: Machine learning algorithms calculate the…

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COMBINING MACHINE LEARNING AND MATHEMATICAL OPTIMIZATION – Part 2

Article two of five Alkiviadis Vazacopoulos In our first article we identified four scenarios where Machine Learning can cooperate with Mathematical Optimization. In this article, we will consider Scenario D and present promising results from a real-world application. This scenario is defined as: ML can be used to help MOPT solvers to perform better not…

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COMBINING MACHINE LEARNING AND MATHEMATICAL OPTIMIZATION – Part 1

Article one of five Python is a widely used high-level programming language for general-purpose programming, it is designed to be straightforward to implement. Apart from being open source programming language, Python is a great object-oriented, interpreted, and interactive programming language. It combines remarkable power with noticeably clear syntax. There are modules, classes, exceptions, very high-level…

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OPTIMIZE HEALTHCARE DELIVERY AND REDUCE COSTS WITH PRESCRIPTIVE ANALYTICS

Article by Sajan Kuttappa on the IBM Big Data and Analytics hub

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OPTIMIZATION GITHUB

A GitHub repository of models, samples, data sources and libraries for decision optimization from IBM

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IBM BLOG

Why prescriptive analytics and decision optimization are crucial

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OPTIMIZATION DIRECT AT INFORMS 2020 BUSINESS ANALYTICS CONFERENCE, DENVER CO, 26-28 APRIL, 2020

We are holding technology tutorials and workshops at INFORMS

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OPTIMIZATION DIRECT MARKET IBM DECISION OPTIMIZATION CENTER

IBM DOC V4.0 now available from Optimization Direct

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AMAZING RESULTS FROM ODH|CPLEX

Results of tests on Miplib Open-v7 Models now out

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