Multi-Objective Evolutionary Algorithms and Their Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 20 February 2026 | Viewed by 8
Special Issue Editor
Interests: scheduling; multi-objective evolutionary algorithms
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on advancing theoretical frameworks, algorithmic innovations, and practical applications of multi-objective optimization (MOO). MOO plays a critical role in addressing complex decision-making challenges where multiple conflicting objectives must be balanced, such as in engineering design, finance, energy systems, logistics, and machine learning. Contributions are invited to explore novel methodologies (e.g., evolutionary algorithms, metaheuristics, and hybrid approaches), computational efficiency enhancements, and real-world case studies that demonstrate MOO’s impact on solving high-dimensional, dynamic, or uncertain problems.
We welcome interdisciplinary research bridging MOO with emerging fields like sustainable development, AI-driven optimization, and multi-criteria decision analysis. Topics include, but are not limited to, the following: Pareto optimality analysis, constraint handling, preference articulation, scalability in large-scale systems, and interpretability of solutions. Submissions should emphasize rigorous validation, comparative studies, or applications with measurable societal or industrial benefits.
This Special Issue aims to foster collaboration between researchers and practitioners, offering insights into both foundational advances and domain-specific adaptations. Authors are encouraged to share datasets, code, and reproducibility guidelines to promote transparency.
The target audience of this Special Issue are researchers in operations research, computer science, applied mathematics, and domain experts in fields leveraging optimization.
We look forward to your contributions.
Dr. Yanjie Song
Guest Editor
Manuscript Submission Information
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Keywords
- multi-objective optimization
- evolutionary algorithms
- Pareto optimality
- metaheuristics
- engineering design
- AI-driven optimization
- sustainable development
- scalability analysis
- dynamic optimization
- uncertainty handling
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