Special issue on: Optimization methods for decision making: advances and applications

Patrizia Beraldi, Maurizio Boccia, Claudio Sterle
<span title="2019-03-22">2019</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/e5brmbb4nne2bb6o5whxervgii" style="color: black;">Soft Computing - A Fusion of Foundations, Methodologies and Applications</a> </i> &nbsp;
Modern societies and organizations have to face everyday decision and optimization problems which are becoming even harder in the era of Big Data. Indeed, the availability of large amount of information is leading toward the definition of new and complex decision problems, where additional requirements, features and uncertainty on data, have to be taken into account. The constant increase in computational resources power plays a fundamental role in tackling these problems, but it could not be
more &raquo; ... fficient without the usage and the development of new efficient and effective solving approaches and decision support tools. In this context, optimization methods, data science and simulation represent key factors in tackling the arising computational challenges. This special issue is addressed to scientists and experts from academia and industry, and its goal is to present high-quality research papers and reviews on methodological and theoretical advances in exact and heuristic optimization methods for solving complex decision problems, as well as to draw the attention to the solution of new practical problems and emerging applications in different sectors. Its final aim is presenting ideas and experiences, sharing knowledge and creating a point of contact among researchers and practitioners working in this field with different perspectives and skills. We encouraged the submission of papers from the entire Operations Research, Computer Science and quantitative methods communities, and in particular from the participants B Claudio Sterle
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