Published/Hosted by Taylor and Francis Group.
ISSN (printed): 0305-215X. ISSN (electronic): 1029-0273.
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.
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