InDM2: Interactive Dynamic Multi-Objective Decision Making Using Evolutionary Algorithms.
Antonio J. NebroAna Belen RuizCristóbal Barba-GonzálezJosé García-NietoMariano LuqueJosé Francisco Aldana MontesPublished in: Swarm Evol. Comput. (2018)
Keyphrases
- multi objective
- evolutionary algorithm
- multi objective optimization
- decision making
- evolutionary computation
- optimization algorithm
- optimization problems
- nsga ii
- multi criteria
- fitness function
- differential evolution
- decision makers
- particle swarm optimization
- multiple objectives
- multi objective optimization problems
- genetic algorithm
- multiobjective optimization
- multiobjective evolutionary algorithm
- multi swarm
- bi objective
- simulated annealing
- fuzzy logic
- dynamic environments
- decision support
- genetic programming
- evolution strategy
- multiobjective evolutionary algorithms
- decision support system
- multi objective evolutionary
- particle swarm
- user interaction
- multi objective evolutionary algorithms
- data mining
- multidisciplinary design optimization
- evolutionary artificial neural networks
- business intelligence
- evolutionary search
- conflicting objectives
- evolutionary strategy
- pareto optimal
- mutation operator
- supply chain
- virtual reality