Engineering Optimization Impact Factor in Computer Science

Engineering Optimization in Computer Science

Journal Country: United Kingdom
Journal Q tier: Q2
Publishing Firm: Taylor and Francis Ltd.
History: 1974-2022
Journal Homepage: Not Available
Journal ISSN: 0305215X, 10290273

Research Categories

Applied Mathematics (Q2); Computer Science Applications (Q2); Control and Optimization (Q2); Industrial and Manufacturing Engineering (Q2); Management Science and Operations Research (Q2)

Impact Score: 3.58
h-Index: 73
SJR: 0.651
Ranking: 7803

About Engineering Optimization

Aim and ScopeThis 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.

Log in to add a review. Log in

No reviews yet. Be the first to review this journal.