Many-Objective Test Problems to Visually Examine the Behavior of Multiobjective Evolution in a Decision Space.
Hisao IshibuchiYasuhiro HitotsuyanagiNoritaka TsukamotoYusuke NojimaPublished in: PPSN (2) (2010)
Keyphrases
- test problems
- pareto fronts
- multi objective
- nsga ii
- multi objective evolutionary algorithms
- multi objective optimization problems
- multi objective problems
- multiple objectives
- knapsack problem
- pareto optimal solutions
- solution quality
- evolutionary algorithm
- optimization problems
- multi objective optimization
- branch and bound algorithm
- conflicting objectives
- benchmark problems
- multiobjective optimization
- test functions
- pareto optimal
- optimization algorithm
- multiobjective evolutionary algorithm
- tabu search
- decision making
- test instances
- decision makers
- objective function
- pareto frontier
- search space
- multi objective differential evolution
- uniform design
- decision variables
- particle swarm optimization
- genetic algorithm
- fitness function
- pareto dominance
- lower bound
- multiobjective evolutionary algorithms
- multiobjective genetic algorithm
- crossover operator
- multi criteria
- feasible solution
- genetic programming
- simulated annealing
- cost function
- special case
- machine learning