A Graph Neural Network Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization.
Xiangyu WangXilu WangYaochu JinUlrich RückertPublished in: CEC (2024)
Keyphrases
- multi objective optimization
- evolutionary algorithm
- neural network
- multi objective
- genetic algorithm
- optimization problems
- evolutionary computation
- differential evolution
- hybrid evolutionary algorithm
- fitness function
- nsga ii
- multi objective optimization problems
- simulated annealing
- multiple objectives
- multi objective genetic algorithm
- genetic programming
- crossover and mutation
- pareto optimal
- genetic operators
- evolutionary strategy
- directed graph
- mutation operator
- artificial neural networks
- function optimization
- multi objective optimisation
- optimization algorithm
- multi objective genetic algorithms
- pareto optimal set
- crossover operator
- estimation of distribution algorithms
- bi objective
- evolution strategy
- neural network model
- fuzzy logic
- multi objective evolutionary algorithms
- initial population
- directed acyclic graph
- convergence speed
- single objective optimization
- complex optimization problems
- optimization method
- cost function
- solving multi objective optimization problems
- constrained multi objective optimization problems