Dominance, epsilon, and hypervolume local optimal sets in multi-objective optimization, and how to tell the difference.
Arnaud LiefoogheManuel López-IbáñezLuís PaqueteSébastien VérelPublished in: GECCO (2018)
Keyphrases
- multi objective optimization
- nsga ii
- pareto optimal
- multi objective
- pareto dominance
- evolutionary algorithm
- pareto optimal set
- genetic algorithm
- multi objective optimization problems
- uniform design
- bi objective
- hybrid evolutionary algorithm
- multiple objectives
- optimal solution
- multiobjective optimization
- optimization problems
- test problems
- optimization algorithm
- multi objective genetic algorithm
- multi objective genetic algorithms
- differential evolution
- dynamic programming
- neural network
- fitness function
- particle swarm optimization
- min max
- crossover and mutation
- simulated annealing
- worst case