<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Iranian Journal of Operations Research</title>
<title_fa>مجله انجمن ایرانی تحقیق در عملیات</title_fa>
<short_title>IJOR</short_title>
<subject>Basic Sciences</subject>
<web_url>http://iors.ir/journal</web_url>
<journal_hbi_system_id>0</journal_hbi_system_id>
<journal_hbi_system_user>user</journal_hbi_system_user>
<journal_id_issn>2008-1189</journal_id_issn>
<journal_id_issn_online></journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi>10.29252/iors</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>1398</year>
	<month>6</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2019</year>
	<month>9</month>
	<day>1</day>
</pubdate>
<volume>10</volume>
<number>2</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>fa</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>A New Algorithm for Constructing the Pareto Front of
Bi-objective Optimization Problems</title>
	<subject_fa>Mathematical Modeling and Applications of OR</subject_fa>
	<subject>Mathematical Modeling and Applications of OR</subject>
	<content_type_fa>پژوهشی</content_type_fa>
	<content_type>Original</content_type>
	<abstract_fa></abstract_fa>
	<abstract>Here, scalarization techniques for multi-objective optimization problems are addressed. A new scalarization approach, called unified Pascoletti-Serafini approach, is utilized and a new algorithm to construct the Pareto front of a given bi-objective optimization problem is formulated. It is shown that we can restrict the parameters of the scalarized problem. The computed efficient points provide a nearly equidistant approximation of the whole Pareto front. The performance of the proposed algorithm is illustrated by various test problems and its effectiveness with respect to some existing methods is shown.</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Bi-objective optimization, Pareto front, Scalarization, Unified Pascoletti-Serafini method, Proper efficiency.</keyword>
	<start_page>49</start_page>
	<end_page>61</end_page>
	<web_url>http://iors.ir/journal/browse.php?a_code=A-10-12-11&amp;slc_lang=fa&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Mehrdad</first_name>
	<middle_name></middle_name>
	<last_name>Ghaznavi</last_name>
	<suffix></suffix>
	<first_name_fa>مهرداد</first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa>غزنوی</last_name_fa>
	<suffix_fa></suffix_fa>
	<email>ghaznavi@shahroodut.ac.ir</email>
	<code>1111111111</code>
	<orcid>1111111111</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Shahrood University of Technology</affiliation>
	<affiliation_fa>Shahrood University of Technology</affiliation_fa>
	 </author>


	<author>
	<first_name>Mahboobe</first_name>
	<middle_name></middle_name>
	<last_name>Abkhizi</last_name>
	<suffix></suffix>
	<first_name_fa>محبوبه</first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa>آبخیزی</last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mahbobe.abkhizi@gmail.com.</email>
	<code>1111111111</code>
	<orcid>1111111111</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Shahrood University of Technology</affiliation>
	<affiliation_fa>Shahrood University of Technology</affiliation_fa>
	 </author>


</author_list>


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