| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6905413 | Applied Soft Computing | 2015 | 20 Pages |
Abstract
- Multi-objective water cycle algorithm (MOWCA) is proposed for solving constrained and engineering multi-objective problems.
- Generational distance, metric of spread, and Î metric are used as performance criteria.
- Optimal Pareto fronts are finely covered by the MOWCA with a good distribution of the non-dominated solutions.
- MOWCA is able to approach a full optimal Pareto front and provide a superior quality of solutions.
- MOWCA is better able to find a wider range of solutions compared with the other optimizers in this paper.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Ali Sadollah, Hadi Eskandar, Joong Hoon Kim,