Evolutionary Multi-Criteria Optimization: Methods and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Fuzzy Sets, Systems and Decision Making".
Deadline for manuscript submissions: 10 November 2024 | Viewed by 9841
Special Issue Editors
Interests: many-objective optimization; evolutionary computation; machine learning; data minning; swarm robotics
Interests: swarm intelligence; evolutionary algorithms; big data analytics; particle swarm optimization; brain storm optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Complex problems usually require the simultaneous consideration of multiple performance criteria within multidisciplinary environments. Since the middle of the 1990s, population-based heuristic approaches have been widely used in the field of evolutionary multi-criterion optimization (EMO) to address such problems. This is evidenced by the rapidly growing number of research publications and by the availability of many related software tools. Recently, EMO researchers have understood the need to develop and integrate decision making into EMO, and the need for cross-fertilization between EMO and the multiple-criteria decision making (MCDM) communities has become apparent.
The main aim of this Special Issue is to bring together both experts and newcomers to discuss new and existing issues in these areas, and in particular to continue the integration and blending of ideas between EMO and MCDM researchers, and to stimulate engagement with the user community.
Scope and topics
Full papers are invited which discuss recent advances in the development and application of evolutionary multi-criterion optimization (EMO) approaches, new horizons for multiple-criteria decision making, which may be pathfinders for a step-change in multidisciplinary decision making, showcase developments in the multiple-criteria decision making (MCDM) communities that have potential for blending with EMO themes, or consider hybrid EMO-MCDM methods and applications. In addition, application papers in the area of hybrid renewable energy system optimal design and management are highly encouraged.
You are invited to submit papers that are unpublished original work for this Special Issue. The topics include, but are not limited to:
- Interactive multi-objective optimization.
- Pareto optimal knee front search.
- Hybrid EMO-MCDM methodologies.
- Theoretical aspects of EMO and MCDM methodologies.
- Multiple-criteria decision aiding.
- Preference modeling.
- Multiple-criteria choice, ranking, and sorting.
- Multiple-objective continuous and combinatorial optimization.
- Evolutionary many-objective optimization.
- Multiple attribute utility theory.
- Outranking methods.
- Goal programming.
- Multiple-objective metaheuristics.
- Fuzzy multiple-criteria decision making.
- Data-driven and model-based multi-objective optimization.
- Dynamic multi-objective optimization.
- Applications of EMO and MCDM in government, business, industry and interdisciplinary sciences.
Dr. Rui Wang
Dr. Shi Cheng
Guest Editors
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. Mathematics is an international peer-reviewed open access semimonthly 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 2600 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/many-objective optimization
- Evolutionary computation
- Preference modeling
- Combinatorial optimization
- Metaheuristics
- Fuzzy decision making
- Data-driven optimization
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