A Dynamically Weighted Multi-Objective Optimization Approach to Positional Interactions in Remote-Local Augmented/Mixed Reality.
Akshith UllalCadence WatkinsNilanjan SarkarPublished in: AIVR (2021)
Keyphrases
- multi objective optimization
- mixed reality
- multi objective
- evolutionary algorithm
- remote laboratories
- augmented reality
- pareto optimal
- computer generated imagery
- digital museum
- nsga ii
- virtual world
- genetic algorithm
- multi objective optimization problems
- distance learning
- differential evolution
- multi objective genetic algorithm
- intelligent environments
- multiple objectives
- virtual humans
- multi objective genetic algorithms
- multiobjective optimization
- bi objective
- real environment
- multi objective evolutionary algorithms
- real time
- ubiquitous computing
- optimization algorithm
- real world
- particle swarm optimization
- expert systems
- pareto frontier