Recent Advances in Multi-Objective Algorithms and Optimization 2023–2024
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: closed (31 March 2024) | Viewed by 12338
Special Issue 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,
The complexity of several real-life scenarios in which decision-making is involved often requires optimization methods and algorithms able to simultaneously cope with more than one objective. Generally, today, decisions at all levels (strategic, tactical, operative) require financial and economic goals to be correctly gathered with lean and green targets in order to find solutions able to produce profit and at the same time respect the environment and people’s safety. Multi-objective optimization is therefore sought to solve these kinds of applications, bearing in mind the hard computational effort they typically require. In accomplishing this task, on the one hand, it is important to continuously improve the implementation of existing approaches and, on the other hand, invest effort toward possible new approaches, also exploiting the rapid evolution of computer technologies.
The aim of this Special Issue is to collect original manuscripts dealing with multi-objective algorithms and optimization in the broad sense. We encourage the submission of original papers presenting innovative applications and/or contributing to the theory in this area. Some possible topics of interest are:
- Evolutionary multi-objective optimization;
- Game-theoretic approaches to multi-objective optimization;
- Multi-level optimization;
- Meta-heuristic methods for multi-objective optimization;
- Hybrid approaches for multi-objective optimization;
- Uncertainty handling in multi-objective optimization;
- Parallelization techniques for multi-objective optimization.
We also encourage papers that investigate these topics in real-world applications, such as engineering design, production planning, healthcare, finance, and transportation, to name a few.
All submitted papers will go through a rigorous review process, and only manuscripts of the highest quality will be accepted for publication.
We look forward to receiving your contributions to this Special Issue.
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 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind 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 1600 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.
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