
Academic Journal
Q2Engineering Optimization
About Engineering Optimization
Engineering Optimization is a scholarly journal published by Taylor and Francis Ltd.. SCImago 2025 lists it in Q2, with an SJR of 0.549 and H-index of 82.
Coverage: 1974-2026. Research categories: Applied Mathematics (Q2); Computer Science Applications (Q2); Control and Optimization (Q2); Industrial and Manufacturing Engineering (Q2); Management Science and Operations Research (Q2).
Verified field sources
- Journal Impact Factor: 2.8 — Official source; checked 2026-10-03. Publisher-reported Journal Impact Factor and year from Taylor & Francis About this journal information.
- Impact Factor year: 2025 — Official source; checked 2026-10-03. Publisher-reported Journal Impact Factor and year from Taylor & Francis About this journal information.
Source-backed journal facts
Topics in published research
Advanced Multi-Objective Optimization Algorithms; Topology Optimization in Engineering; Probabilistic and Robust Engineering Design; Metaheuristic Optimization Algorithms Research; Advanced Manufacturing and Logistics Optimization; Scheduling and Optimization Algorithms.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
Multi-strategy attraction-repulsion optimization algorithm for engineering-oriented global optimization
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Chaoran Huang, Guohua Zhou
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2026-08-11 · DOI: 10.1080/0305215x.2026.2710690Joint scheduling of distributed mixed-line high-speed train bogie maintenance: a multi-agent hierarchical deep reinforcement learning approach
ShiXi Shi, ShiYao Zheng, Ning Zhang, WeiQun Liu et al.
2026-08-07 · DOI: 10.1080/0305215x.2026.2703593Crashworthiness analysis and multi-objective optimization of multi-cell thin-walled crash boxes with different cell geometries
Mehmet Kopar
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2026-08-04 · DOI: 10.1080/0305215x.2026.2704696Mixed exponential approximation of material properties multi-material model with its application to thermoelastic and stress topology optimization
Hao Yan, Wenchang Wu, Minchuan Liang, Xiaoming Wu et al.
2026-07-31 · DOI: 10.1080/0305215x.2026.2704008A forecast-driven rolling-horizon-based Wagner–Whitin approach for creating a smart coal-port inventory system
Peipei Ding, Shi Qiang Liu, Dewang Chen, Qiang Zhang et al.
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Arianna Alfieri, Andrea Grosso, Erica Pastore, Fabio Salassa et al.
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Yuan-Zhuo Ma, Chuang Li, Zhen-Yue Jia, A.-Nai Ding et al.
2026-07-21 · DOI: 10.1080/0305215x.2026.2698612Fatigue and energy conscious multi-objective hybrid flow-shop scheduling: an offline Deep-Q-Network-based metaheuristic
Zhongshi Shao, Zeyu Zhang, Weishi Shao
2026-07-20 · DOI: 10.1080/0305215x.2026.2693129Robust optimization of the formation plan of a direct train originating at a technical station under uncertain wagon flow conditions
Bing Li, Zhaoyan Hua, Yang Xue, Jiabei Zhang et al.
2026-07-20 · DOI: 10.1080/0305215x.2026.2693731Reviews
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October 2, 2026 at 9:20 pm
October 2, 2026