On the use of informed initialization and extreme solutions sub-population in multi-objective evolutionary algorithms.
Dipankar DasguptaGermán Jairo HernándezAndrés RomeroDeon GarrettAishwarya KaushalJames SimienPublished in: MCDM (2009)
Keyphrases
- multi objective evolutionary algorithms
- multi objective
- multi objective optimization problems
- multi objective optimization
- pareto optimal solutions
- pareto optimal set
- nsga ii
- test problems
- multi objective problems
- bi objective
- evolutionary algorithm
- multi criteria
- multiobjective optimization
- differential evolution
- fitness function
- evolutionary computation
- optimization algorithm
- grammar guided genetic programming
- multiple objectives
- strength pareto evolutionary algorithm
- genetic algorithm
- optimal solution