The Relationship between Metaheuristics Stopping Criteria and Performances: Cases of NSGA-II and MOPSO-CD for Sustainable Peach Fruit Design.
Mohamed-Mahmoud Ould SidiBénédicte Quilot-TurionAbdeslam KadraniMichel GénardFrançoise LescourretPublished in: Int. J. Appl. Metaheuristic Comput. (2014)
Keyphrases
- nsga ii
- multi objective
- optimization problems
- multi objective optimisation
- evolutionary algorithm
- multi objective optimization
- test problems
- scatter search
- optimal solution
- particle swarm optimization
- multiobjective optimization
- pareto optimal
- optimization algorithm
- multiobjective evolutionary algorithm
- test functions
- genetic algorithm
- stopping criteria
- multiobjective optimization problems
- differential evolution
- uniform design
- evolutionary multiobjective optimization
- multi objective particle swarm optimization
- mutation operator
- simulated annealing
- multi objective evolutionary algorithms
- tabu search
- bi objective
- knapsack problem
- pareto optimal set
- fitness function
- crossover operator
- multiple objectives
- highly competitive
- pareto optimal solutions
- multi objective optimization problems
- objective function
- pso algorithm
- benchmark problems
- branch and bound algorithm
- cost function
- swarm intelligence
- neural network
- particle swarm optimization algorithm