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 technical improvement and innovation in engineering domains. 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, quantum computing and quantum information processing, and all methods which can be used in the quantitative modelling and optimization 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, manufacturing, aerospace and industrial engineering. Papers on both research aspects and on rigorous industrial implementations are welcomed, clearly showing advances in the state-of-the-art with innovative developments in formal optimization processes.

All submitted manuscripts are subject to initial appraisal by the Editors, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is single anonymous and submission is made via our Submission Portal.