Engineering Optimization

SCI期刊
Engineering Optimization
中文名称:
工程优化
期刊缩写:
Eng. Optim.
影响因子:
2.2
ISSN:
print: 0305-215X
on-line: 1029-0273
研究领域:
管理科学-工程:综合
h-index:
56
自引率:
7.40%
Gold OA文章占比:
5.94%
原创研究文献占比:
100.00%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore)
期刊介绍英文:
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.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
5.90.6211.057
学科
排名
百分位
大类:Mathematics
小类:Applied Mathematics
69 / 635
89%
大类:Mathematics
小类:Control and Optimization
21 / 130
84%
大类:Engineering
小类:Industrial and Manufacturing Engineering
93 / 384
75%
大类:Decision Sciences
小类:Management Science and Operations Research
56 / 207
73%
大类:Computer Science
小类:Computer Science Applications
254 / 817
68%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
3区 工程技术
3区 工程:综合 ENGINEERING, MULTIDISCIPLINARY
4区 运筹学与管理科学 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
WOS期刊分区
学科分类
Q2ENGINEERING, MULTIDISCIPLINARY
Q2OPERATIONS RESEARCH & MANAGEMENT SCIENCE
历年影响因子
2015年1.3800
2016年1.7280
2017年1.6220
2018年1.8090
2019年2.1650
2020年3.2300
2021年2.5000
2022年2.7000
2023年2.2000
历年发表
2012年93
2013年152
2014年97
2015年90
2016年131
2017年120
2018年135
2019年139
2020年133
2021年140
2022年74
投稿信息
出版周期:
Bimonthly
出版语言:
English
出版国家(地区):
ENGLAND
接受率:
62%
审稿时长:
3.5 months
出版商:
Taylor and Francis Ltd.
编辑部地址:
TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON, ENGLAND, OXON, OX14 4RN

Engineering Optimization - 最新文献

Hybrid machine learning and optimization method for solar irradiance forecasting

Pub Date : 2024-09-04 DOI: 10.1080/0305215x.2024.2390126 Chaoyang Zhu, Mengxia Wang, Mengxing Guo, Jinxin Deng, Qipei Du, Wei Wei, Yuxiang Zhang

An improved whale optimization algorithm for multi-robot path planning

Pub Date : 2024-09-02 DOI: 10.1080/0305215x.2024.2366484 Yijun Shao, Liangkuan Zhu, Chunyu Su, Jingyu Wang

Optimization of reliable vehicle routing problem for medical waste collection with time windows in stochastic transportation networks

Pub Date : 2024-08-20 DOI: 10.1080/0305215x.2024.2388626 Xiang Xu, Ting Wu, Sirui Wang, Sihan Zhang, Zheyu Xu, Bainan Yang, Ziyang Ding, Liang Shen
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