List of Topics:
Location Research Breakthrough Possible @S-Logix pro@slogix.in

Office Address

Social List

Engineering Optimization - Taylor & Francis | 2024 Impact Factor:2.2 | Cite Score:5.9 | Q2

Engineering Optimization Journal

Impact Factor and Journal Rank of Engineering Optimization

  • About: Engineering Optimization is an interdisciplinary engineering journal dedicated to quantitative computational methods of optimization and their applications across various engineering disciplines. The journal emphasizes the use of formalized numerical processes for improving engineering planning, design, manufacturing, and operational processes.
  • Objective: The primary objective of Engineering Optimization is to publish research papers, review articles, and practical case studies that advance the understanding and application of optimization methods in engineering. The journal aims to bridge theory and practice by showcasing innovative methodologies and their real-world implementations.
  • Interdisciplinary Focus: Engineering Optimization covers a wide range of disciplines within the engineering community, including: Environmental engineering Civil engineering Mechanical engineering Aerospace engineering Manufacturing engineering The journal welcomes contributions that demonstrate the application of optimization techniques in these areas, promoting interdisciplinary collaboration and knowledge exchange.
  • Global Reach and Impact: With a global readership, Engineering Optimization disseminates cutting-edge research to researchers, engineers, and practitioners worldwide. The journal international perspective ensures that advancements in optimization methodologies reach a broad audience, fostering global innovation and collaboration.
  • High Standards and Rigorous Review: Submissions to Engineering Optimization undergo a rigorous peer-review process to uphold the highest standards of scientific quality and relevance. The journal editorial board, composed of experts in optimization and various engineering fields, ensures the integrity and impact of published research.
  • Significance: By showcasing both theoretical advancements and practical applications, Engineering Optimization plays a pivotal role in advancing the field of engineering optimization. The journal contributions contribute to the development of efficient and sustainable engineering solutions worldwide.

  • Editor-in-Chief:  Shu-Kai Fan

  • Scope: Engineering Optimization Journal is a peer-reviewed academic journal that publishes high-quality research articles on the theory and practice of optimization in engineering. It serves as a platform for researchers, practitioners, and professionals to share their latest findings and advancements in the field. The journal covers a broad range of topics related to optimization in engineering, including but not limited to:
  • 1. Mathematical Optimization: Research on mathematical methods and algorithms for solving optimization problems, including linear, nonlinear, integer, and multi-objective optimization.
  • 2. Structural Optimization: Studies on the optimization of structural systems and components to enhance performance, efficiency, and reliability.
  • 3. Design Optimization: Exploration of optimization techniques applied to the design process to achieve optimal configurations and solutions.
  • 4. Control and Automation: Research on optimization methods in control systems, automation processes, and robotics to improve performance and efficiency.
  • 5. Computational Methods: Development and application of computational algorithms and software tools for solving complex optimization problems in engineering.
  • 6. Applications in Engineering: Case studies and practical applications of optimization techniques in various engineering disciplines, such as aerospace, mechanical, civil, electrical, and chemical engineering.
  • 7. Heuristic and Metaheuristic Methods: Exploration of heuristic and metaheuristic approaches, including genetic algorithms, particle swarm optimization, and simulated annealing.
  • 8. Multi-disciplinary Optimization: Research on optimization techniques that integrate multiple disciplines to solve complex engineering problems.
  • 9. Uncertainty and Robust Optimization: Studies on optimization methods that account for uncertainty and variability in engineering systems and processes.
  • 10. Sustainable and Green Optimization: Research on optimization approaches aimed at promoting sustainability and reducing environmental impact in engineering practices.
  • Latest Research Topics for PhD in Computer Science
    •

  • Print ISSN:  0305-215X

    Electronic ISSN:  1029-0273

  • Abstracting and Indexing:  Scopus, SCIE

  • Imapct Factor 2024:  2.2

  • Subject Area and Category:   Computer Science, Computer Science Applications, Decision Sciences, Management Science and Operations Research, Engineering, Industrial and Manufacturing Engineering, Mathematics, Applied Mathematics, Control and Optimization

  • Publication Frequency:  

  • H Index:  79

  • Best Quartile:

    Q1:  

    Q2:  Applied Mathematics

    Q3:  

    Q4:  

  • Cite Score:  5.9

  • SNIP:  1.160

  • Journal Rank(SJR):  0.620