A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO.
Seyed Mohsen MousaviJavad SadeghiSeyed Taghi Akhavan NiakiMadjid TavanaPublished in: Appl. Soft Comput. (2016)
Keyphrases
- multi objective
- nsga ii
- bi objective
- multi objective optimization
- test problems
- multiobjective optimization
- optimization problems
- test functions
- evolutionary algorithm
- pareto optimal
- optimization model
- multi objective problems
- optimization algorithm
- multiobjective evolutionary algorithm
- multi objective evolutionary algorithms
- multi objective optimization problems
- pareto dominance
- pareto optimal solutions
- genetic algorithm
- multiobjective optimization problems
- strength pareto evolutionary algorithm
- uniform design
- multiple objectives
- benchmark problems
- objective function
- differential evolution
- particle swarm optimization
- optimal solution
- pareto set
- multi objective particle swarm optimization
- crossover operator
- multi criteria
- computationally efficient
- efficient solutions
- neural network
- pareto frontier
- worst case
- fitness function
- branch and bound algorithm
- knapsack problem
- optimization process
- combinatorial optimization
- swarm intelligence
- genetic programming
- simulated annealing
- solution quality
- computational complexity