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<doi>/ISEC.res.2017.44</doi>
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<article-title>GENETIC ALGORITHM OPTIMIZATION OF<br/>
MULTIPLE RESOURCES FOR MULTI-PROJECTS</article-title>
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<author>SARAH FOTOUH and A. SAMER EZELDIN</author>

<aff>Construction Engineering Dept, The American University in Cairo, Cairo, Egypt</aff>


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<abstract>
<title>ABSTRACT</title>
<p>Optimization of resources is very important in all construction projects. Project
managers have to face problems regarding management of cost, time and available
resources for single projects. This is more challenging when managing multiple
projects. Most of the recent studies focused on optimization of resources for a single
project, or a single resource. This paper presents a numerical model of multiple
resources optimization for multiple projects using Genetic Algorithm. Most of the
companies in the construction industry optimize the resources for single projects only.
However, with the presence of several mega projects in several developing countries
running at the same time, there is a need for a model to enhance the efficiency of
available resources, and decreases the fluctuation as much as possible and try to
maximize the use of the available pool of resources. The proposed model is user
friendly, and it can optimize up to nine resources in three different projects running at
the same time. The model is used on the identified critical resources. It calculates the
cost of each resource, minimize the cost of extra resources as much as possible and
generate the schedule of each project within a selected overall program.</p>
<p><italic>Keywords: </italic>Construction management, Resource leveling, Cost optimization,
Modeling.</p>
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