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In this article, we introduce a method for schedule optimization using constraint programming with OR‑Tools, an open‑source optimization solver developed by Google. As a toy model, we consider the scenario of “caring for newborn triplets.” With limited resources (Dad, Mom, and a babysitter), how should multiple tasks be allocated to reduce the parents’ burden—especially sleep deprivation?

This will provide an overview of technologies that substitute human decision-making, similar to annealing machines, and explain the characteristics and advantages of annealing machines among them.

One of the use cases for an annealing machine is "optimizing researcher shifts while considering COVID-19 infection control." Here, I will explain how to use a decision architecture design framework in practice.

This time, I would like to delve deeper into the four elements for those who have identified issues they want to optimize. I will explain the element of references, which is one of the two elements that form the "outline of the issue."

This time, I would like to delve deeper into the four elements for those who have identified issues they want to optimize. I will explain the element of rules and assumptions, which is one of the two elements that form the "outline of the issue."

In this second part, I will explain the element of values, which is one of the two elements that form the "skeleton" of an issue, along with values.

In this first part, I will explain the element of actions, which is one of the two elements that form the "skeleton" of an issue, along with values.

This column is filled with hints for advancing issue clarification and requirement definition, so if you're unsure where to start or how to articulate your thoughts as you progress in your study of mathematical optimization, please take a moment to read it.

In this column, I would like to introduce the know-how for applying mathematical optimization technology, including CMOS annealing, to issues that require human decision-making.

Did you know that annealing machines are already being used in business, not just for verification, but as a means to solve real-world problems? This article will cover examples of applications that have been published so far.

In general, computers often employ procedures and algorithms that lead to the only correct solution (exact solution), but let's learn about the different heuristic features and the significance of annealing machines in this perspective.

This column introduces recommended books outside of Annealing Cloud Web that you should deepen your knowledge in order to actually use an annealing machine.

In this section, we will look back at the roles that hardware and software have played in the shift from the dawn of annealing machines to their widespread use, and also consider the roles they will play in the future.

When applying an annealing machine solution of an optimization problem to a real-world problem, the ultimate goal is to improve the user's work through the optimization process.

In the second part, we will discuss the structural specifications and technical challenges of the annealing machine that actually derives the ground state of the Ising model.

An annealing machine is a technique for solving combinatorial optimization problems through a mechanism in which the ground state of the Ising model (the state with the lowest energy) gives the optimal solution by setting preconditions that result in the optimal solution.

Both machine learning, which is often used in AI, and annealing machines, which perform combinatorial optimization, are computers that perform difficult processing on behalf of humans.

What is a typical combinatorial optimization problem? Many people may answer with the 'traveling salesman problem'.