Abstract
Various evolutionary algorithms are being developed to search the optimal solution of various problems in the real world. Evolutionary algorithms search solutions showing the optimal fitness to given problem using their own operators. Engineering benchmark problems can be used for performance measurement of evolutionary algorithms, and the water distribution network design problem is one of the widely used benchmark problems. In this study, the water distribution network design problems are generated by modifications of five problem characteristic factors. Generated benchmark problems are applied to quantitatively evaluate the performance among evolutionary algorithms. Each algorithm shows its own strength and weakness. Optimization results show that the engineering benchmark generation method suggested in this study can be served as a reliable framework for comparison of performances on various water distribution network design problems.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 714-717 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781509046010 |
| DOIs | |
| Publication status | Published - 2017 Jul 5 |
| Event | 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Donostia-San Sebastian, Spain Duration: 2017 Jun 5 → 2017 Jun 8 |
Other
| Other | 2017 IEEE Congress on Evolutionary Computation, CEC 2017 |
|---|---|
| Country | Spain |
| City | Donostia-San Sebastian |
| Period | 17/6/5 → 17/6/8 |
Keywords
- Engineering approach
- Evolutionary algorithms
- Performance comparison
- Water distribution networks
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing