Exact(24)
By applying addressed multi-objective optimization approach, Pareto optimal frontier determined and utilizing different decision-making techniques that includes the LINMAP, TOPSIS and fuzzy Bellman Zadeh approaches help us to figure out a final optimal solution.
Risk analysis is used for decision-making of the final optimal solution from the obtained Pareto optimal frontier.
Pareto optimal frontier is obtained and a final optimal solution is selected in a decision-making process.
Serious decisions are "consequential", good ideas are "cool", better ideas are "compelling" and the best ideas are at "the optimal frontier".
The Pareto optimal frontier is obtained and the final design solution has been selected by Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP).
Analysis of the Pareto optimal frontier results in several distinct groups of configuration based on the selected district conversion technologies and their capacities.
Similar(36)
The Pareto Optimal Frontiers (POFs) can be obtained from this multi-objective optimization.
NSGA-II algorithm was used to obtain Pareto optimal frontiers.
This approach finds equally spaced Pareto optimal frontiers that are capable of minimizing noise variables' effects.
Optimization programming is performed using the NSGA-II algorithm and Pareto optimal frontiers are obtained in three cases including the minimum, average and maximum ambient air temperatures.
The strategies to minimize each type of impact and the associated cost trade-offs by exploring the solutions located on the Pareto optimal frontiers are discussed.
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