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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>International Journal of Mathematical Modelling &amp; Computations</JournalTitle>
<Issn>2228-6233</Issn>
<Volume>4</Volume>
<Issue>2</Issue>
<PubDate PubStatus="epublish">
<Year>2014</Year>
<Month>03</Month>
<Day>21</Day>
</PubDate>
</Journal>
<ArticleTitle>SOLVING BLASIUS EQUATION USING IMPERIALIST COMPETITIVE ALGORITHM</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage>103</FirstPage>
<LastPage>114</LastPage>
<ELocationID EIdType="doi"></ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Hossein</FirstName>
<LastName>Towsyfyan</LastName>
<Affiliation></Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2014</Year>
<Month>03</Month>
<Day>21</Day>
</PubDate>
</History>
<Abstract>In this study, a new approach isintroduced to solve Blasius differential equation using of ImperialistCompetitive Algorithm (ICA). This algorithm is inspired by competitionmechanism among Imperialists and colonies and has demonstrated excellent capabilitiessuch as simplicity, accuracy, faster convergence and better global optimumachievement in contrast to other evolutionary algorithms. The obtained results havebeen compared with the exact solution of Blasius equation and another resultobtained in previous works and showhigher accuracy and less computational requirements. Inaddition, the method presented with details can beeasily extended to solve a wide range of nonlinear problems.
</Abstract>
</Article>
</ArticleSet>