Dear Colleagues,
Decision-making in real-world applications often require the consideration of more than one objective to find an effective solution. When (conflicting) objectives are associated with either a single decision-maker or cooperative decision-makers, this typically leads to multi-objective optimization. Here, optional solutions do not have the same image value, as happens in single-objective optimization, but are non-dominated, equivalent, and allow the definition of the Pareto front. When objectives are associated with different non-cooperative decision-makers, we fall into the game theory arena; furthermore, when objectives and/or decision-makers have a hierarchy among them, this asks to cope with nested optimization problems and, therefore, multi-level optimization.
All these problems are computationally difficult to solve, and their resolution typically involves reformulating the latter into several single-objective problems or one single-objective problem by introducing additional (non-linear) constraints. Moreover, to limit the computational burden, before their resolution, it is worthwhile to reduce the number of objectives to a very limited (significative) number by applying proper methodologies.
The aim of this Special Issue is to collect original manuscripts dealing with multi-objective and multi-level optimization; we sought original papers presenting innovative applications and/or contributing to the theory.
More information: https://www.mdpi.com/journal/algorithms/special_issues/6H7DO5W40A
Call for Reading: https://www.mdpi.com/journal/algorithms/special_issues/036OWV49D5
If this Special Issue interests you, or if you would like to discuss a potential topic, project, or any other inquiries, please feel free to contact me, Mr. Musea Wu (muse...@mdpi.com) or (mus...@gmail.com), directly. We kindly ask for a brief response within 2–3 weeks to indicate your interest, and we assure you that your submission will receive priority consideration.
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Mr. Musea Wu
Assistant Editor
News:
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3. Recruiting Editorial Board Members for Algorithms (https://www.mdpi.com/about/announcements/14101)
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