Symmetry/Asymmetry in Multi-Objective Optimization
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 428
Special Issue Editor
Special Issue Information
Dear Colleagues,
Multi-objective optimization is a fundamental discipline in operations research, artificial intelligence, and decision-making, dealing with the simultaneous optimization of multiple conflicting objectives. Symmetry and asymmetry play critical roles in shaping problem structures and influencing the efficiency of optimization algorithms. Symmetry in objectives, constraints, or decision variables often simplifies problem formulation, enabling the design of efficient algorithms that exploit regularity. Conversely, asymmetry introduces complexity and realism, better modeling real-world scenarios where objectives, constraints, or interactions are inherently unbalanced.
Symmetry-based approaches are extensively utilized in multi-objective optimization problems to enhance computational efficiency, simplify analysis, and uncover inherent patterns. On the other hand, addressing asymmetry requires adaptive strategies and novel algorithms that cater to heterogeneous or irregular problem features. The balance between leveraging symmetry and managing asymmetry is pivotal in advancing multi-objective optimization techniques for applications such as logistics, engineering design, and machine learning.
This Special Issue aims to explore the interplay of symmetry and asymmetry in multi-objective optimization, with a focus on theoretical advancements, algorithmic innovations, and real-world applications. Topics of interest include, but are not limited to, the following:
- Symmetry in Pareto front approximation and analysis;
- Handling asymmetry in dynamic or stochastic multi-objective problems;
- Symmetry-aware evolutionary algorithms and heuristics;
- Multi-objective optimization in large-scale and high-dimensional spaces;
- Applications of symmetry and asymmetry in engineering, healthcare, and economics;
- Integration of artificial intelligence techniques with multi-objective optimization;
- Case studies demonstrating the impact of symmetry or asymmetry in decision-making.
We invite contributions that push the boundaries of both theoretical understanding and practical application in multi-objective optimization.
Dr. Chaoda Peng
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. Symmetry 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 2400 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
- optimization algorithms
- pareto front
- evolutionary algorithms
- stochastic problems
- high-dimensional spaces
- artificial intelligence
- decision making
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