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Structural and Multidisciplinary Optimization - Springer Nature | 2024 Impact Factor:3.9 | Cite Score:8.4 | Q1

Structural and Multidisciplinary Optimization Journal

Impact Factor and Journal Rank of Structural and Multidisciplinary Optimization

  • About: Structural and Multidisciplinary Optimization (SMO) Journal is a premier publication under Springer Nature, dedicated to advancing the field of optimization in structural and multidisciplinary contexts. The journal provides a platform for researchers and practitioners to share original research, innovative methodologies, and significant applications in optimization.
  • Focus: SMO Journal focuses on theoretical and practical aspects of structural optimization and multidisciplinary optimization. This includes, but is not limited to, optimization algorithms, computational techniques, and their applications in engineering and other disciplines.
  • Editorial Board: The journal is supported by an esteemed editorial board comprising experts in the fields of structural engineering, applied mathematics, computational mechanics, and multidisciplinary optimization. They ensure the quality and relevance of published research through a rigorous peer-review process.
  • Topics Covered: The journal covers a broad spectrum of topics including optimization methods in structural design, sensitivity analysis, robust design, multi-objective optimization, optimization under uncertainty, and applications in aerospace, mechanical, civil, and automotive engineering.
  • Research Dissemination: SMO Journal serves as a vital resource for researchers, engineers, and practitioners, disseminating cutting-edge research findings and practical insights that contribute to the optimization community.
  • Interdisciplinary Approach: By promoting interdisciplinary research, the journal fosters collaboration among various engineering disciplines and applied sciences, enhancing the development and application of optimization techniques.
  • Global Reach: With a wide international readership, SMO Journal facilitates global collaboration and knowledge exchange, advancing the field of structural and multidisciplinary optimization worldwide.
  • Open Access: The journal offers open access options, ensuring that research findings are accessible to a broad audience, promoting the dissemination and application of optimization knowledge.
  • Peer Review: All submissions to SMO Journal undergo a stringent peer-review process to maintain high standards of scholarly excellence and ensure the publication of impactful research.
  • Continuous Innovation: SMO Journal encourages continuous innovation and the exploration of new frontiers in optimization, providing a dynamic platform for the latest advancements and trends in the field.

  • Editor-in-Chief:  Gengdong Cheng

  • Scope: Optimization Methods:
    Techniques and algorithms for optimization in engineering design.
  • Structural Optimization:
    Methods for improving the performance of structures under various constraints.
  • Multidisciplinary Design Optimization (MDO):
    Integration of different disciplines in the optimization process to achieve the best overall design.
  • Applications:
    Practical applications of optimization in fields such as aerospace, mechanical, civil, and automotive engineering.
  • Computational Techniques:
    Advances in computational tools and methods for solving optimization problems.
  • Innovative Design Solutions:
    Development of innovative and efficient design solutions through optimization.
  • Sustainability:
    Approaches for incorporating sustainability and environmental considerations into optimization.
  • Uncertainty and Robustness:
    Methods for dealing with uncertainties and ensuring robust design solutions.
  • Collaborative and Distributed Optimization:
    Techniques for collaborative and distributed optimization processes.
  • Case Studies and Benchmark Problems:
    Case studies and benchmark problems that highlight the application of optimization methods in real-world scenarios.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  1615-147X

    Electronic ISSN:  1615-1488

  • Abstracting and Indexing:  Science Citation Index Expanded, Scopus.

  • Imapct Factor 2024:  4.0

  • Subject Area and Category:  Computer Sciences, Industrial Engineering, Mathematics

  • Publication Frequency:  Monthly

  • H Index:  147

  • Best Quartile:

    Q1:  Computer Graphics and Computer-Aided Design

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  8.4

  • SNIP:  1.521

  • Journal Rank(SJR):  1.339