A Toolkit for Generating Scalable Stochastic Multiobjective Test Problems.
Shaul SalomonRobin Charles PurshouseIoannis GiagkiozisPeter John FlemingPublished in: GECCO (2016)
Keyphrases
- test problems
- nsga ii
- multi objective
- optimization problems
- multi objective optimization problems
- evolutionary algorithm
- multiobjective optimization
- multiobjective evolutionary algorithm
- pareto fronts
- multi objective problems
- benchmark problems
- solution quality
- pareto optimal
- branch and bound algorithm
- knapsack problem
- tabu search
- test instances
- uniform design
- test functions
- multi objective evolutionary algorithms
- multi objective differential evolution
- multi objective optimization
- simulated annealing
- lower bound
- pareto optimal solutions
- multiobjective evolutionary algorithms
- optimization algorithm
- genetic algorithm
- objective function
- evolutionary multiobjective
- multiple objectives
- pareto dominance
- neural network
- trade off
- particle swarm optimization
- conflicting objectives
- computational complexity
- machine learning
- metaheuristic
- dynamic programming
- genetic programming
- evolutionary computation
- branch and bound