Name
Title | ||
|---|---|---|
Applications and performance of the non-numerical ranking preferences method for post-Pareto optimality. |
Abstract | ||
|---|---|---|
Most real-world engineering optimization problems are implicitly or explicitly multi-objective, and approaches to find the best feasible solution to be implemented can be quite challenging for the decision-maker. In this kind of problem, either the analyst determines a single solution or identifies a set of nondominated solutions, often referred to as Pareto-optimal set. Although, several methods for solving multi-objective optimization problems have been developed and studied, little prior work has been done on the evaluation of results obtained in multi-objective optimization. This selection stage is often referred as post-Pareto optimality. This paper presents a method based on preferences rankings provided from the decision-maker. The method is clearly advantageous because there is no need to provide specific weight values; the only requirement is to provide a non-nominal ranking. Several examples are used to show the performance of the algorithm. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.procs.2011.08.045 | Procedia Computer Science |
Keywords | Field | DocType |
Multiple objective optimization,post-Pareto analysis | Probabilistic-based design optimization,Mathematical optimization,Bilevel optimization,Vector optimization,Computer science,Combinatorial optimization,Multi-objective optimization,Artificial intelligence,Engineering optimization,Optimization problem,Machine learning,Metaheuristic | Journal |
Volume | ISSN | Citations |
6 | 1877-0509 | 2 |
PageRank | References | Authors |
0.55 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Victor M. Carrillo | 1 | 5 | 1.31 |
| Oswaldo Aguirre | 2 | 5 | 1.73 |
| Heidi A. Taboada | 3 | 131 | 9.87 |