<?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>1403</year>
	<month>10</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2025</year>
	<month>1</month>
	<day>1</day>
</pubdate>
<volume>15</volume>
<number>1</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>A SELF-ADAPTIVE ENHANCED VIBRATING PARTICLE SYSTEM ALGORITHM FOR STRUCTURAL OPTIMIZATION: APPLICATION TO ISCSO BENCHMARK PROBLEMS</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;span style=&quot;font-size:11.5pt&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; style=&quot;font-family:&quot; times=&quot;&quot;&gt;Structural optimization plays a crucial role in engineering design, aiming to minimize weight and cost while satisfying performance constraints. This research presents a novel Self-Adaptive Enhanced Vibrating Particle System (SA-EVPS) algorithm that automatically adjusts algorithm parameters to improve optimization performance. The algorithm is applied to two challenging examples from the International Student Competition in Structural Optimization (ISCSO) benchmark suite: the 314-member truss structure (ISCSO_2018) and the 345-member truss structure (ISCSO_2021). Results demonstrate that SA-EVPS achieves significantly better solutions compared to previous studies using the Exponential Big Bang-Big Crunch (EBB-BC) algorithm. For ISCSO_2018, SA-EVPS achieved a minimum weight of 16543.57 kg compared to 17934.3 kg for the best EBB-BC variant&amp;mdash;a 7.75% improvement. Similarly, for ISCSO_2021, SA-EVPS achieved 4292.71 kg versus 4399.0 kg for the best EBB-BC variant&amp;mdash;a 2.42% improvement. The proposed algorithm also demonstrates superior convergence behavior and solution consistency, with coefficients of variation of 3.13% and 1.21% for the two benchmark problems, compared to 12.5% and 2.4% for the best EBB-BC variant. These results highlight the effectiveness of the SA-EVPS algorithm for solving complex structural optimization problems and demonstrate its potential for engineering applications.&lt;/span&gt;&lt;/span&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Structural optimization, Metaheuristic algorithms, Self-adaptive parameters, Vibrating particle system, Truss structures, ISCSO benchmarks, Size optimization, Parameter tuning</keyword>
	<start_page>111</start_page>
	<end_page>130</end_page>
	<web_url>http://ijoce.iust.ac.ir/browse.php?a_code=A-10-6463-20&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>M.</first_name>
	<middle_name></middle_name>
	<last_name>Paknahd</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>180031947532846002818</code>
	<orcid>180031947532846002818</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Faculty of Engineering, Mahallat Institute of Higher Education, Mahallat, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>P.</first_name>
	<middle_name></middle_name>
	<last_name>Hosseini</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>p.hosseini@mahallat.ac.ir</email>
	<code>180031947532846002819</code>
	<orcid>180031947532846002819</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Faculty of Engineering, Mahallat Institute of Higher Education, Mahallat, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>A.</first_name>
	<middle_name></middle_name>
	<last_name>Kaveh</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>180031947532846002820</code>
	<orcid>180031947532846002820</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>S.J.S. </first_name>
	<middle_name></middle_name>
	<last_name>Hakim</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>180031947532846002821</code>
	<orcid>180031947532846002821</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, University Tun Hussein Onn Malaysia (UTHM), Malaysia</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


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