Multi-Objective and Multi-Level Optimization: Algorithms and Applications (3rd Edition)
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Combinatorial Optimization, Graph, and Network Algorithms".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 735
Editor
Interests: scheduling; graph theory; optimization; mathematical modeling; supply chain optimization; logistics; transportation; production systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Decision-making in real-world applications often requires considering 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 and 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, we must 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.
This Special Issue will collect original manuscripts dealing with multi-objective and multi-level optimization; we invite original papers presenting innovative applications and/or contributing to the wider theory.
Prof. Dr. Massimiliano Caramia
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- multi-objective optimization
- multi-level optimization
- decision-making
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