A genetic algorithm based optimization framework to visualize, evaluate, and modify 3D space configurations in Desktop VR

A genetic algorithm based optimization framework to visualize, evaluate, and modify 3D space configurations in Desktop VR

This paper presents the design and implementation of a Desktop VR (Virtual Reality) framework for generating and evaluating Pareto-optimal alternate 3D spatial configurations using GA (genetic algorithms). The 3-tier framework involves the generation of the Pareto-optimal plans using GA which are su...

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Bibliographic Details
Main Authors: Chandramouli Magesh, Bertoline Gary R.
Format: Article
Language:English
Published: EDP Sciences 2014-01-01
Series:International Journal for Simulation and Multidisciplinary Design Optimization
Subjects:
multiobjective optimization
design optimization
genetic algorithms
desktop virtual reality
Online Access:https://www.ijsmdo.org/articles/smdo/full_html/2014/01/smdo130004/smdo130004.html

Internet

https://www.ijsmdo.org/articles/smdo/full_html/2014/01/smdo130004/smdo130004.html

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