Cost minimum proportioning of non-Slump concrete mix using genetic algorithms

This paper presents a generalized formulation for determining the optimal quantity of the materials used to produce Non-Slump Concrete with minimum possible cost. The proposed problem is formulated as a nonlinear constrained optimization problem. The proposed problem considers cost of the individual...

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Bibliographic Details
Main Authors:	Rahman, M.M., Jumaat, M.Z.
Format:	Conference or Workshop Item
Published:	2012
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://www.scopus.com/inward/record.url?eid=2-s2.0-84859230299&partnerID=40&md5=23735739b717578274cd55aeb71f6d0f http://www.scopus.com/inward/record.url?eid=2-s2.0-84859230299&partnerID=40&md5=23735739b717578274cd55aeb71f6d0f

id	um-5871
recordtype	eprints
spelling	um-58712017-10-04T07:26:22Z Cost minimum proportioning of non-Slump concrete mix using genetic algorithms Rahman, M.M. Jumaat, M.Z. TA Engineering (General). Civil engineering (General) This paper presents a generalized formulation for determining the optimal quantity of the materials used to produce Non-Slump Concrete with minimum possible cost. The proposed problem is formulated as a nonlinear constrained optimization problem. The proposed problem considers cost of the individual constituent material costs as well as the compressive strength and other requirement. The optimization formulation is employed to minimize the cost function of the system while constraining it to meet the compressive strength and workability requirement. The results demonstrate the efficiency of the proposed approach to reduce the cost as well as to satisfy the above requirement. 2012 Conference or Workshop Item PeerReviewed http://www.scopus.com/inward/record.url?eid=2-s2.0-84859230299&partnerID=40&md5=23735739b717578274cd55aeb71f6d0f Rahman, M.M.; Jumaat, M.Z. (2012) Cost minimum proportioning of non-Slump concrete mix using genetic algorithms. In: 3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012, 2012, Xiamen. http://eprints.um.edu.my/5871/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Rahman, M.M. Jumaat, M.Z. Cost minimum proportioning of non-Slump concrete mix using genetic algorithms
description	This paper presents a generalized formulation for determining the optimal quantity of the materials used to produce Non-Slump Concrete with minimum possible cost. The proposed problem is formulated as a nonlinear constrained optimization problem. The proposed problem considers cost of the individual constituent material costs as well as the compressive strength and other requirement. The optimization formulation is employed to minimize the cost function of the system while constraining it to meet the compressive strength and workability requirement. The results demonstrate the efficiency of the proposed approach to reduce the cost as well as to satisfy the above requirement.
format	Conference or Workshop Item
author	Rahman, M.M. Jumaat, M.Z.
author_facet	Rahman, M.M. Jumaat, M.Z.
author_sort	Rahman, M.M.
title	Cost minimum proportioning of non-Slump concrete mix using genetic algorithms
title_short	Cost minimum proportioning of non-Slump concrete mix using genetic algorithms
title_full	Cost minimum proportioning of non-Slump concrete mix using genetic algorithms
title_fullStr	Cost minimum proportioning of non-Slump concrete mix using genetic algorithms
title_full_unstemmed	Cost minimum proportioning of non-Slump concrete mix using genetic algorithms
title_sort	cost minimum proportioning of non-slump concrete mix using genetic algorithms
publishDate	2012
url	http://www.scopus.com/inward/record.url?eid=2-s2.0-84859230299&partnerID=40&md5=23735739b717578274cd55aeb71f6d0f http://www.scopus.com/inward/record.url?eid=2-s2.0-84859230299&partnerID=40&md5=23735739b717578274cd55aeb71f6d0f
first_indexed	2018-09-05T16:55:50Z
last_indexed	2018-09-05T16:55:50Z
_version_	1610833928122269696

Cost minimum proportioning of non-Slump concrete mix using genetic algorithms

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