Split-and-Merge-Based Genetic Algorithm (SM-GA) for LEGO Brick Sculpture Optimization

This paper proposes a split-and-merge-based genetic algorithm (SM-GA) for converting a given 3-D voxel model into an LEGO brick sculpture using a minimal number of bricks. The proposed SM-GA is designed to always generate a feasible brick layout in accordance with a given voxel model considering the...

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Bibliographic Details
Main Authors: Seung-Mok Lee, Jae Woo Kim, Hyun Myung
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8419684/