An easy-to-use real-world multi-objective optimization problem suite.
Ryoji TanabeHisao IshibuchiPublished in: Appl. Soft Comput. (2020)
Keyphrases
- multi objective optimization
- real world
- multi objective
- evolutionary algorithm
- genetic algorithm
- pareto optimal
- multiple objectives
- multi objective genetic algorithm
- multi objective genetic algorithms
- multi objective optimization problems
- hybrid evolutionary algorithm
- data sets
- differential evolution
- bi objective
- crossover and mutation
- nsga ii
- genetic programming
- solving multi objective optimization problems
- multi objective evolutionary algorithms
- feature selection
- pareto dominance
- multi objective problems
- complex optimization problems
- search algorithm
- pareto optimal set
- optimization problems
- optimization algorithm