Comparative performance of the NSGA-II and MOPSO algorithms and simulations for evaluating time-cost-quality-risk trade-off in multi-modal PERT networks.
Seyyed Jalaladdin Hosseini DehshiriAhmad Yousefi HanoomarvarMaghsoud AmiriPublished in: Soft Comput. (2023)
Keyphrases
- multi modal
- nsga ii
- multi objective
- test problems
- optimization problems
- test functions
- evolutionary multiobjective optimization
- evolutionary algorithm
- multi objective optimization
- multi objective problems
- particle swarm optimization
- multiobjective optimization
- pareto optimal
- optimization algorithm
- multi objective optimization problems
- multiobjective evolutionary algorithm
- benchmark problems
- multiobjective optimization problems
- multi objective particle swarm optimization
- multi objective evolutionary algorithms
- solution quality
- differential evolution
- optimal solution
- objective function
- particle swarm optimizer
- mutation operator
- uniform design
- high dimensional
- genetic algorithm
- highly competitive
- knapsack problem
- multiple objectives
- fitness function
- computationally efficient
- strength pareto evolutionary algorithm
- efficient solutions
- pareto optimal solutions
- feasible solution
- tabu search
- uni modal
- computational complexity
- neural network