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Photogrammetry file transfer for Rhino

Background image in Rhino with overlaid CAD data, showing the difference between the original and adjusted photos.

You might consider using photogrammetry instead of laser scanning.

Photogrammetry generates the 3D coordinates of selected points, usually applied targets. Export the points to Rhino and then work with the points in Rhino.

To do this, you apply targets, take your photos from varied locations, process the images on the computer, and export the results to Rhino.
You can integrate photogrammetry into your Rhino workflow using PhotoModeler. Import solved camera positions, rotations, and undistorted image backgrounds directly in the Rhino's native .3DM format.

A few things PhotoModeler can do:

Comprehensive Rhino 3DM export with geometry (2D and 3D points, lines, surfaces, textures, and NURBS, layers & materials), camera position and orientation data, and two styles of image background.
Transfer complete 3D models with NURBS, surfaces, textures, etc.
Work with the same layers and materials in both programs.
Transfer accurate scale and coordinate systems for accurate dimensioning.
Transfer project notes to Rhino notes.
Set up orthographic image backgrounds in Rhino.
Work with 2D patterns and templates for camera-based digitization.
Transfer an accurate camera view for each original project photo.

PhotoModeler Technologies wrote a blog post with tips for using photogrammetry and PhotoModler with Rhino.

Optimus - new metaheuristic optimization plug-in for Grasshopper

Optimus is a new metaheuristic optimization plug-in for Grasshopper. The first version implements the Self-Adaptive Differential Evolution with Ensemble of Mutation Strategies (jEDE). While the self-adaptive approach updates crossover and mutation rates, the ensemble of mutation strategies uses three operators to find the optimal result. The main purpose is to support the Performative Computational Architecture framework during the design decisions in the conceptual phase.

The plug-in is experimented using standard test problems, some of the test problems proposed in IEEE CEC 2005, and one design optimization problem (all these can be found below). Results show that Optimus (jEDE) outperformed some of the single-objective optimization algorithms available in Food4Rhino by finding much better solutions for 20 out of 21 problems. The target audience of the tool is frequent users of parametric design modeling, e.g., architects, engineers, and designers.

The background of the algorithm and the results can be found here.