Name
Title | ||
|---|---|---|
A new dominance-relation metric balancing convergence and diversity in multi- and many-objective optimization |
Abstract | ||
|---|---|---|
•A more structured metric is proposed to promote the balance between convergence and diversity in many-objective optimization.•A distance-based diversity maintenance scheme is used to each non-dominated front to maintain population diversity.•Make full use of the neighborhood information in mating selection, which significantly improves the efficiency of the algorithm.•At most one solution in each sub-region of current Pareto front is selected in selection operation, which improves the efficiency of the algorithm. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2019.05.032 | Expert Systems with Applications |
Keywords | Field | DocType |
Convergence,Diversity,Many-objective optimization,Pareto dominance,Decomposition | Convergence (routing),Mathematical optimization,Evolutionary algorithm,Computer science,Multi-objective optimization,Mate choice,Artificial intelligence,Cluster analysis,Optimization problem,Machine learning,Pareto principle,Computational complexity theory | Journal |
Volume | ISSN | Citations |
134 | 0957-4174 | 2 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chunteng Bao | 1 | 9 | 1.18 |
| Lihong Xu | 2 | 344 | 36.70 |
| Erik Goodman | 3 | 145 | 15.19 |