Engineering Optimization

Aims & Scope

Engineering Optimization is an interdisciplinary engineering journal which serves the large technical community concerned with quantitative computational methods of optimization, and their application to engineering planning, design, manufacture and operational processes.

The policy of the journal treats optimization as any formalized numerical process for improvement.

Algorithms for numerical optimization are therefore mainstream for the journal, but equally welcome are papers which use the methods of operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, artificial intelligence, information theory and processing, and all methods which can be used in the quantitative modelling of the decision-making process.

Innovation in optimization is an essential attribute of all papers but engineering applicability is equally vital.

Engineering Optimization aims to cover all disciplines within the engineering community though its main focus is in the areas of environmental, civil, mechanical, aerospace and manufacturing engineering.

Papers on both research aspects and practical industrial implementations are welcomed.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.2
2024	2.20

Journal Rank

Year	Value
2024	9349

Journal Citation Indicator

Year	Value
2024	1210

SJR (SCImago Journal Rank)

Year	Value
2024	0.620

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	79

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Decision Sciences, Engineering and Mathematics, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Shuffled frog-leaping algorithm: a memetic meta-heuristic for discrete optimization

  Citation: 980

  Authors: Muzaffar, Kevin, Fayzul

• Flower pollination algorithm: A novel approach for multiobjective optimization

  Citation: 526

  Authors: Xin-She, Mehmet, Xingshi

• Optimal cost design of water distribution networks using harmony search

  Citation: 489

  Authors: Zong Woo

• An improved particle swarm optimizer for mechanical design optimization problems

  Citation: 334

  Authors: S., E., Q. H.

• Exploration of Metamodeling Sampling Criteria for Constrained Global Optimization

  Citation: 332

  Authors: Michael J., Panos, Pierre

• The harmony search heuristic algorithm for discrete structural optimization

  Citation: 314

  Authors: Kang Seok, Zong Woo, Sang-ho, Kyu-woong

• ENGINEERING DESIGN OPTIMIZATION USING A SWARM WITH AN INTELLIGENT INFORMATION SHARING AMONG INDIVIDUALS

  Citation: 314

  Authors: TAPABRATA, PANKAJ

• A Swarm Metaphor for Multiobjective Design Optimization

  Citation: 299

  Authors: Tapabrata, K.M.

• Teaching–learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems

  Citation: 297

  Authors: R. V., V. J., J.

• MULTIOBJECTIVE DESIGN OPTIMIZATION BY AN EVOLUTIONARY ALGORITHM

  Citation: 241

  Authors: TAPABRATA, KANG, KIN CHYE

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