Improving solution diversity on NSGA-II for multi-objective clustering problems.
Vicente Rivera-RebolledoManuel Villalobos-CidMario Inostroza-PontaPublished in: SCCC (2022)
Keyphrases
- multi objective
- pareto optimal solutions
- nsga ii
- conflicting objectives
- multi objective evolutionary algorithms
- multi objective optimization
- test problems
- evolutionary algorithm
- pareto optimal
- multiobjective optimization problems
- pareto optimal set
- multi objective optimization problems
- multiobjective optimization
- multi objective problems
- bi objective
- multi objective genetic algorithm
- optimization algorithm
- pareto dominance
- optimization problems
- efficient solutions
- pareto set
- multiple objectives
- multiobjective evolutionary algorithm
- objective function
- multi criteria
- genetic algorithm
- particle swarm optimization
- solution quality
- optimal solution
- pareto fronts
- differential evolution
- pareto frontier
- constrained multi objective optimization problems
- evolutionary multiobjective
- crossover operator
- multi objective optimisation
- uniform design
- cooperative coevolution
- evolutionary multiobjective optimization
- multi objective differential evolution
- evolutionary computation
- fitness function
- benchmark problems
- special case
- engineering problems