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Engineering Optimization

Journal Abbreviation: ENG OPTIMIZ
Journal ISSN: 0305-215X

About Engineering Optimization

    This journal continues to serve the large technical community concerned with quantitative and 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 process for improvement. Algorithms for numerical optimization are therefore mainstream for the journal, but equally welcome are papers which use many of 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.
Year Impact Factor (IF) Total Articles Total Cites
2023 (2024 update) 2.2 - -
2022 - -
2021 2.500 - 4135
2020 3.230 245 3839
2019 2.165 108 2822
2018 1.809 124 2511
2017 1.622 125 2171
2016 1.728 116 1815
2015 1.380 93 1350
2014 1.076 91 1169
2013 1.230 75 1146
2012 0.962 83 891
2011 0.936 69 740
2010 0.902 62 713

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