GeDEA-II: a simplex-crossover based multi objective evolutionary algorithm including the genetic diversity asobjective.
Claudio Comis Da RoncoErnesto BeniniPublished in: GECCO (Companion) (2012)
Keyphrases
- multi objective evolutionary algorithms
- genetic algorithm
- multi objective
- differential evolution
- evolutionary algorithm
- fitness function
- multi objective optimization
- benchmark test
- nsga ii
- genetic programming
- evolutionary computation
- multi objective optimization problems
- crossover operator
- optimization algorithm
- genetic algorithm ga
- mutation operator
- test problems
- particle swarm optimization
- multiobjective optimization
- multi criteria
- pareto optimal solutions
- pareto optimal
- simulated annealing
- optimization problems
- genetic operators
- neural network
- premature convergence
- hard constraints
- multi objective evolutionary
- bi objective
- search algorithm
- artificial intelligence
- machine learning