Multi-Objective Optimization by Using Evolutionary Algorithms: The $p$-Optimality Criteria.
Emiliano Carreño JaraPublished in: IEEE Trans. Evol. Comput. (2014)
Keyphrases
- multi objective optimization
- optimality criteria
- evolutionary algorithm
- multi objective
- evolutionary computation
- optimization problems
- differential evolution
- fitness function
- nsga ii
- simulated annealing
- multi objective optimization problems
- evolution strategy
- solving multi objective optimization problems
- pareto optimal
- genetic algorithm
- hybrid evolutionary algorithm
- bi objective
- differential evolution algorithm
- crossover and mutation
- genetic programming
- multi objective genetic algorithms
- optimization method
- genetic operators
- evolutionary strategy
- multi objective problems
- pareto optimal set
- mutation operator
- multiple objectives
- particle swarm optimization
- multi objective optimisation
- artificial neural networks
- pareto frontier
- single objective optimization
- multi objective genetic algorithm
- convergence speed