Engineering Optimization

SJR Rank #10,797H-index: 82SJR: 0.549Best quartile: Q2
Journal website: aims, scope and author guidelines
Publisher

Taylor and Francis Ltd.

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.20.40.60.8

Subject Categories

  • Applied MathematicsQ2
  • Computer Science ApplicationsQ2
  • Control and OptimizationQ2
  • Industrial and Manufacturing EngineeringQ2
  • Management Science and Operations ResearchQ2

Areas: Computer Science · Decision Sciences · Engineering · Mathematics

Most published research topics

Advanced Multi-Objective Optimization AlgorithmsTopology Optimization in EngineeringProbabilistic and Robust Engineering DesignMetaheuristic Optimization Algorithms ResearchAdvanced Manufacturing and Logistics OptimizationScheduling and Optimization AlgorithmsComposite Structure Analysis and OptimizationManufacturing Process and OptimizationOptimization and Packing ProblemsOptimization and Mathematical Programming

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs090180270360

Documents per Year

20222025060120180240

Detailed Information

ISSN

0305-215X, 1029-0273

SJR Best Quartile

Q2

Region

Western Europe

Citations per Document (2 years)

3.19

References per Document

47.46

Coverage

1974-2026

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.

Metrics from SCImago Journal Rank 2025. View on SCImago