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Engineering Optimization

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영향력 지수:
2.2
출판사:
Taylor & Francis
ISSN:
0305-215X
조회:
18445
팔로우:
0

논문 모집

Engineering Optimization is an academic journal published by Taylor & Francis. (ISSN 0305-215X, impact factor 2.2).

Aims and scope 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. All submitted manuscripts undergo initial evaluation by the Editors. If deemed suitable for further consideration, they are subjected to peer review by independent, anonymous expert referees. The peer review process is single-blind, and submissions are managed through our Submission Portal. Engineering Optimization is currently participating in a project to evaluate and improve the effectiveness of our editorial policies, and some authors may receive an additional email during the manuscript evaluation process providing guidance on Open Research practices. If you do not want your manuscript to be included, please let us know by emailing [email protected] including your Manuscript ID. Your decision to participate or not will have no impact on the editorial decision regarding your submission.
최종 수정: Dou Sun ()

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Optimization Methods and Software1.4Taylor & Francis1055-6788
Systems Science & Control EngineeringTaylor & Francis2164-2583
Smart ScienceTaylor & Francis2308-0477
Information Systems Management3.9Taylor & Francis1058-0530
International Journal of Control1.6Taylor & Francis0020-7179
Fuzzy Information and EngineeringTaylor & Francis1616-8658
Numerical Functional Analysis and Optimization1.4Taylor & Francis0163-0563
Applied Artificial IntelligenceTaylor & Francis0883-9514
Journal of Simulation1.7Taylor & Francis1747-7778
CCybernetics and SystemsTaylor & Francis0196-9722

관련 학회

CCFICORE약칭정식 명칭투고 마감통보일개최일
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BICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-01-132027-05-16
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