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Engineering Optimization (EO)

Publisher :

Taylor & Francis

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • engineering community
  • with main focus on environmental
  • civil

    • +3

e-ISSN :

1029-0273

Issue Frequency :

Monthly

Impact Factor :

2.2

p-ISSN :

0305-215X

Est. Year :

1974

Mobile :

4402080520500

DOI :

YES

Country :

United Kingdom

Language :

English

APC :

YES

Impact Factor Assignee :

GOOGLE SCHOLAR

Email :

morrisfan@mail.ntut.edu.tw

Journal Descriptions

Engineering Optimization is an interdisciplinary journal that serves a vast technical community interested in quantitative computational methods of optimization. It emphasizes their practical applications across engineering disciplines including planning, design, manufacturing, and operational processes. The journal’s policy considers optimization as any formal numerical process aimed at enhancing technical performance and fostering innovation within engineering domains. While its primary focus lies on algorithms for numerical optimization, the journal also encourages submissions utilizing methodologies from operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, generative artificial intelligence, machine/deep learning, information theory, quantum computing, quantum information processing, and other cutting-edge techniques relevant to optimization in decision-making processes. For example, within the realm of artificial intelligence, the journal welcomes academic papers that explore how artificial intelligence methodologies enhance numerical optimization algorithms or propose innovative artificial intelligence methods to solve engineering optimization challenges. Innovation in optimization is a fundamental requirement for all submissions, alongside a strong emphasis on engineering applicability. Engineering Optimization strives to encompass all disciplines within the engineering community, with main focus on environmental, civil, mechanical, manufacturing, aerospace, and industrial engineering. The journal invites papers that explore both theoretical research and practical industrial applications, demonstrating clear advancements in state-of-the-art formal optimization processes through innovative developments.


Engineering Optimization (EO) is :

International, Peer-Reviewed, Open Access, Refereed, engineering community, with main focus on environmental, civil, mechanical, manufacturing, aerospace , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 0305-215X, E-ISSN - 1029-0273, Established in - 1974, Impact Factor - 2.2

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Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

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