Trends and Prospects of Asymmetric and Symmetric Studies on Algorithms Optimizations
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 1364
Special Issue Editors
Interests: information technology
Special Issue Information
Dear Colleagues,
Optimization tasks such as resource allocation, scheduling and prediction are common and challenging problems in many domains, such as logistics, economy, manufacturing, social life, healthcare, etc. The Special Issue “Trends and Prospects of Asymmetric and Symmetric Studies on Algorithms Optimizations” aims to explore the pervasive role of symmetric and asymmetric principles in advancing optimization techniques. Although optimization methods are developed in diverse scientific domains, we focused on the integration of machine learning and optimization methodologies in this Special Issue with the main aim seek of elucidating how symmetric and asymmetric principles can enhance algorithmic goodness, i.e., first of all, the efficiency and solution quality in various already mentioned application areas because machine learning for optimization offers several advantages, such as scalability, adaptability and robustness. With obligatory interdisciplinary dialogue in mind, this collection should illuminate novel approaches for tackling complex optimization problems in different fields of human life through theoretical analyses, algorithm development, and real-world case studies.
Prof. Dr. Dragan Ranđelović
Dr. Jelena Misic
Guest Editors
Manuscript Submission Information
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Keywords
- symmetry
- process optimization
- optimization methods
- machine learning
- algorithm efficiency
- model robustness
- solution quality
- interdisciplinary
- economy
- social activity
- medicine
- engineering
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