INCREASED 2008 Impact Factor: 0.9
© Thomson Scientific Journal Citation Reports 2009

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.

The engineering dimension is vital. Engineering Optimization aims to serve all disciplines within the engineering community. Relevance to problems of engineering, planning, design, construction and operation is a key element in all published papers. Papers on both research aspects and practical industrial implementations are welcomed.

All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.


Disclaimer

Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.