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<doi>/ISEC.res.2017.89</doi>
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<article-title>MULTI-OBJECTIVE OPTIMIZATION FOR<br/>
CONFLICT RESOLUTION IN CONSTRUCTION<br/>
PROJECTS</article-title>
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<author>CHANGJUN LEE<sup>1</sup>, SEUNG HEON HAN<sup>1</sup>, WOOSIK JANG<sup>2</sup>, and WOOYONG JUNG<sup>1</sup></author>

<aff><sup>1</sup>Civil and Environmental Engineering, Yonsei University, Seoul, Republic of Korea<br/>
<sup>2</sup>Civil Engineering, Chosun University, Gwangju, Republic of Korea</aff>


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<title>ABSTRACT</title>
<p>In construction projects, the different interests and objects of stakeholders can result in
increased occurrences of conflict, which can bring negative effects or even project
termination. In particular, understanding the causes and finding a solution get more
difficult because of the larger and more complex projects. Thus, quantitative research
should be conducted to find conflict alternatives. This study aims to find optimal
alternative combinations for conflict resolution in public projects. To understand level
of conflict and effect of conflict alternatives, the survey was conducted in three points
of view: 1) economic; 2) social; and 3) environmental. After survey, the optimization
process consists of two steps. First, weights of conflict factors are estimated through
regression analysis. Second, multi-object functions which are each economic impact,
social impact, environmental impact are optimized. For multi-objective optimization,
optimal alternative combinations could be deducted and results present how
alternatives affect to conflict level. Although there are some limitations, this result is
significant in that it has found an optimal alternative considering three impacts in order
to select a combination of alternatives for conflict resolution.</p>
<p><italic>Keywords: </italic>Development, Multi-objective optimization, Genetic algorithm.</p>
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