A Federated Data-Driven Evolutionary Algorithm for Expensive Multi/Many-objective Optimization.
Jinjin XuYaochu JinWenli DuPublished in: CoRR (2021)
Keyphrases
- evolutionary algorithm
- data driven
- multi objective
- multiple objectives
- evolutionary computation
- optimization problems
- multi objective optimization
- simulated annealing
- genetic programming
- nsga ii
- function optimization
- differential evolution
- digital libraries
- computationally expensive
- genetic operators
- genetic algorithm
- multi objective evolutionary algorithms
- fitness function
- error prone
- evolutionary strategy
- neural network
- data sources
- machine learning
- databases
- metaheuristic
- multimedia
- mutation operator
- information systems
- evolutionary process
- data mining
- hybrid evolutionary algorithm
- quantum evolutionary algorithm