EVOLVE: A Visualization Tool for Multi-objective Optimization Featuring Linked View of Explanatory Variables and Objective Functions.
Maki KubotaTakayuki ItohShigeru ObayashiYuriko TakeshimaPublished in: IV (2014)
Keyphrases
- multi objective optimization
- visualization tool
- multi objective
- explanatory variables
- objective function
- evolutionary algorithm
- regression analysis
- regression model
- multiple objectives
- visual exploration
- open source
- genetic algorithm
- graphical user interface
- particle swarm optimization
- optimization algorithm
- optimization problems
- pareto optimal
- visualization tools
- multi objective optimization problems
- bi objective
- nsga ii
- regression coefficients
- complex optimization problems
- information visualization
- multi objective genetic algorithm
- pareto optimal set
- differential evolution
- multiobjective optimization
- multi objective evolutionary algorithms
- response variable
- neural network
- fitness function
- real world
- pareto optimal solutions
- optimal solution
- data analysis
- genetic programming
- multi objective genetic algorithms
- cost function
- simulated annealing
- solution quality
- estimation of distribution algorithms
- evolutionary computation
- benchmark problems