Name
Title | ||
|---|---|---|
Simultaneous topology and sizing optimization of a water distribution network using a hybrid multiobjective evolutionary algorithm. |
Abstract | ||
|---|---|---|
The paper is twofold. First a numerical scheme called network repairing technique is proposed for simultaneous topology and sizing optimization of pipe networks. Secondly, a new hybrid multiobjective evolutionary algorithm based on real code population-based incremental learning and differential evolution is developed. The new method and other multiobjective evolutionary algorithms are implemented to tackle the new multiobjective design problems of pipe network. Comparative results show that the proposed hybrid algorithm is efficient. The network repairing technique can effectively repair unusable network topologies. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.asoc.2013.04.005 | Applied Soft Computing |
Keywords | Field | DocType |
Hybrid differential evolution,Pipe network,Population-based incremental learning,Topology optimization,Water distribution systems | Population,Topology,Conceptual design,Mathematical optimization,Hybrid algorithm,Evolutionary algorithm,Differential evolution,Sizing,Topology optimization,Population-based incremental learning,Mathematics | Journal |
Volume | Issue | ISSN |
13 | 8 | 1568-4946 |
Citations | PageRank | References |
7 | 0.47 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sujin Bureerat | 1 | 64 | 11.36 |
| Krit Sriworamas | 2 | 7 | 0.47 |