<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>International Journal of Optimization in Civil Engineering</title>
<title_fa>عنوان نشریه</title_fa>
<short_title>IJOCE</short_title>
<subject>Engineering &amp; Technology</subject>
<web_url>http://ijoce.iust.ac.ir</web_url>
<journal_hbi_system_id>18</journal_hbi_system_id>
<journal_hbi_system_user>agent2</journal_hbi_system_user>
<journal_id_issn>2228-7558</journal_id_issn>
<journal_id_issn_online>3060-8236</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi>doi</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1396</year>
	<month>4</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2017</year>
	<month>7</month>
	<day>1</day>
</pubdate>
<volume>7</volume>
<number>3</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>OPTIMAL DESIGN OF WATER DISTRIBUTION SYSTEM USING CENTRAL FORCE OPTIMIZATION AND DIFFERENTIAL EVOLUTION</title>
	<subject_fa>Optimal design</subject_fa>
	<subject>Optimal design</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;p&gt;For any agency dealing with the design of the water distribution network, an economic design will be an objective. In this research, Central Force Optimization (CFO) and Differential Evolution (DE) algorithm were used to optimize Ismail Abad water Distribution network. Optimization of the network has been evaluated by developing an optimization model based on CFO and DE algorithm in MATLAB and the dynamic connection with EPANET software for network hydraulic calculation. Conclusions show CFO runtime is less than DE. While optimization of CFO (737,924 $) and DE (737,920 $) are %1.61 and %1.57 more than the absolute optimum that determined by the MILP method (726,463 $), respectively.&lt;/p&gt;
</abstract>
	<keyword_fa></keyword_fa>
	<keyword>central force optimization, differential evolution algorithm, optimization, distribution systems, epanet.</keyword>
	<start_page>469</start_page>
	<end_page>491</end_page>
	<web_url>http://ijoce.iust.ac.ir/browse.php?a_code=A-10-66-152&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>R.</first_name>
	<middle_name></middle_name>
	<last_name>Mansouri</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>180031947532846001226</code>
	<orcid>180031947532846001226</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>M.</first_name>
	<middle_name></middle_name>
	<last_name>Mohamadizadeh</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email></email>
	<code>180031947532846001227</code>
	<orcid>180031947532846001227</orcid>
	<coreauthor>No</coreauthor>
	<affiliation></affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
