Experiences Using Julia for Implementing Multi-objective Evolutionary Algorithms.
Antonio J. NebroXavier GandibleuxPublished in: MIC (2) (2024)
Keyphrases
- multi objective evolutionary algorithms
- multi objective
- multi objective optimization
- multi objective optimization problems
- nsga ii
- differential evolution
- multi objective problems
- optimization algorithm
- multi criteria
- test problems
- evolutionary algorithm
- multiobjective optimization
- fitness function
- genetic algorithm
- pareto optimal set
- pareto optimal
- particle swarm optimization
- grammar guided genetic programming
- branch and bound algorithm
- evolutionary computation
- genetic programming
- search algorithm
- multiple objectives
- network design
- fuzzy logic
- pareto optimal solutions
- expert systems
- neural network