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Redistricting with Optimization

This contributed article discusses how optimization is the most transparent and fair method of creating political districts. However, optimization is a highly challenging process that seeks the ideal answer to a problem with hundreds of millions of possible solutions.  The enormity of the problem can be addressed in 2021 because states like Michigan and Virginia are now seriously addressing the gerrymandering issue, while advances in computer software and hardware have made the necessary large-scale optimization possible.

Cambridge Quantum Algorithm Solves Optimization Problems Significantly Faster, Outperforming Existing Quantum Methods

In a development that is likely to set a new industry standard, scientists at Cambridge Quantum (CQ) have developed a new algorithm for solving combinatorial optimization problems that are widespread in business and industry, such as traveling salesman, vehicle routing or job shop scheduling, using near-term quantum computers.

Gurobi Publishes Inaugural State of Mathematical Optimization Report

Gurobi Optimization, LLC – which produces the fast mathematical optimization solver, the Gurobi Optimizer – today released the inaugural edition of its annual State of Mathematical Optimization Report. The report highlights the business impact of mathematical optimization, revealing how companies across more than 42 industries are using this AI technology to solve a broad range of business problems and achieve a variety of business objectives, including maximizing revenue, minimizing costs, and maximizing resource utilization.