Multi-objective particle swarm optimization by fuzzy-pareto-dominance meta-heuristic.
Mario KöppenChristian VeenhuisPublished in: Int. J. Hybrid Intell. Syst. (2006)
Keyphrases
- pareto dominance
- multi objective particle swarm optimization
- metaheuristic
- nsga ii
- optimization problems
- multi objective
- optimal solution
- evolutionary algorithm
- genetic algorithm
- pareto optimal
- particle swarm optimization
- multi objective optimization
- test problems
- tabu search
- multiobjective optimization
- simulated annealing
- ant colony optimization
- multi objective problems
- combinatorial optimization problems
- objective function
- combinatorial optimization
- test functions
- optimization algorithm
- optimization method
- benchmark problems
- crossover operator
- multiple objectives
- vehicle routing problem
- traveling salesman problem
- bi objective
- solution space
- cost function
- differential evolution
- search space
- neural network
- knapsack problem
- branch and bound algorithm
- multi objective evolutionary algorithms
- mutation rate
- swarm intelligence
- lower bound
- hybrid algorithm
- feasible solution
- fitness function
- np hard