| contributor author | Joo-Ha Lee | |
| contributor author | Young-Soo Yoon | |
| date accessioned | 2017-05-08T21:13:31Z | |
| date available | 2017-05-08T21:13:31Z | |
| date copyright | January 2009 | |
| date issued | 2009 | |
| identifier other | %28asce%290887-3801%282009%2923%3A1%2857%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/43400 | |
| description abstract | This study proposes a new methodology with harmony search (HS) algorithm and neural networks (NNs) for concrete mix proportioning. The basic procedure for the methodology consists of four steps: (1) constructing a database of mix designs; (2) establishing appropriate models for strength and workability; (3) optimizing mix proportion using the modified HS algorithm; and (4) refining the mixture using NNs. The proposed methodology could be a useful decision-making tool for concrete mix design. | |
| publisher | American Society of Civil Engineers | |
| title | Modified Harmony Search Algorithm and Neural Networks for Concrete Mix Proportion Design | |
| type | Journal Paper | |
| journal volume | 23 | |
| journal issue | 1 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)0887-3801(2009)23:1(57) | |
| tree | Journal of Computing in Civil Engineering:;2009:;Volume ( 023 ):;issue: 001 | |
| contenttype | Fulltext | |
