Experience Fixstars Amplify in your browser through demo applications
In this tutorial, we design the airfoil shape to maximize the lift-to-drag ratio based on fluid flow simulations. We use black-box optimization with a machine-learning model and simulated annealing for non-binary decision variables.
In this tutorial, we optimize the operating condition of a chemical reactor to maximize its production. We use black-box optimization based on a machine-learning model and chemical reaction simulations.
Here, we demonstrate black-box optimization using machine learning and an Ising machine/quantum annealer for material exploration to realize a model high-temperature superconducting material.
Black-box optimization (BBO) can be applied to complex and unknown functions. In this tutorial, we introduce and implement BBO using machine learning and combinatorial optimization with Fixstars Amplify.
This example code contains the minimal code for using all available machines with Amplify SDK.
Here, we solve a taxi matching problem, where the cost of dispatching a taxi is minimized given multiple customers and multiple taxi locations.
In this tutorial, we will develop an application to solve a meeting room allocation problem based on constrained combination optimization.
This tutorial describes how to impose constraints on the decision variables in Amplify SDK.
This tutorial introduces the Amplify feature to formulate objective functions using polynomials.
Combinatorial optimization can be used for noise reduction. Here, we will implement a combinatorial optimization solver to reduce noise in an image.
Number partitioning is a typical combinatorial optimization problem. In this tutorial, we will use Amplify to solve a number partitioning problem.