Optuna, widely used for solving optimization problems, has recently been updated to version 4, introducing a new feature called OptunaHub. Taking this opportunity, we have published an implementation of the multi-objective optimization algorithm "MOEA/D" through OptunaHub. In this article, we introduce the characteristics of MOEA/D and present an example comparison with other optimization methods. Those interested in evolutionary multi-objective optimization or seeking more efficient optimization techniques may find this article useful.

Do you have a smart phone? How many of you know that 3D scanning of objects is possible with your smartphone? This blog is an invitation to try 3D scanning with your smartphone. This blog is an invitation to try 3D scanning with your smartphone. Welcome to the world of 3D scanning.

Have you ever experienced using topology optimization? Some of you might have used commercial software but may not fully understand the internal workings or specific features of different methods. In this article, we will explain the characteristics of typical topology optimization methods in a simple manner, implement two of them, and compare the results.

Have you ever performed optimization in Grasshopper? Specifically, have you used Tunny for optimization? During that time, did you ever feel that the optimization was not working well? The category of optimization called black-box optimization, which Tunny uses, has slower convergence compared to sensitivity-based optimization (such as topology optimization). If the settings are not properly configured or the problem is not suitable, the result may end up being just slightly better than random. In this article, let's look at the optimization results using Tunny with different settings.

This article considers the importance of material models in numerical analysis through the modeling of lunar soil (Regolith) and dynamic analysis of drop tests.

Is everyone using ChatGPT? Various uses and updates are making the rounds on the Internet on a regular basis, but you may not think that Rhino and Grasshopper have much to do with it. There are already plug-ins available that use ChatGPT to control Rhino and GH, though not necessarily in a stable manner. If you check how it works with your familiar software, you will feel more familiar with ChatGPT. Let's check the implementation of existing plug-ins and see how they work.

In this article we caluclated CFD by OpenFOAM as a first step to do geometry optimization.

This article introduces Tunny, Optuna's 3D CAD wrapper. We will start with an introduction of Rhinoceros, a 3D CAD software on which Tunny runs. Then, I will provide a brief overview of how I implemented Tunny. Finally, I will walk you through some design examples using Tunny, including crash safety design of a car front bumper in connection with CAE, and Human-in-the-loop optimization of vase shapes and architectural column placement.

As an example of integrating multiple components using compliant mechanisms, we will introduce the design of a folding hanger.

Karamba3d is a structural analysis plug-in that runs on top of 3D CAD Rhinoceros Grasshopper. Karamba3d is not a well-known commercial CAE like Ansys, so I am curious about its performance, However, as there is not much information on this, this article will check it on a simple model.