Advanced Optimization Modeling and Algorithms for Planning and Scheduling
This special issue belongs to the section "E1: Mathematics and Computer Science".
Special Issue Information
Dear Colleagues,
We are pleased to announce this Special Issue of the journal Mathematics. With the growing complexity of systems in industries, such as manufacturing, logistics, healthcare, and energy, robust mathematical approaches and innovative algorithms are essential for achieving efficient and effective solutions. We welcome submissions addressing the advancements in optimization, algorithm design, and practical implementations that contribute to the field’s body of knowledge. Topics may include, but are not limited to, integer and linear programming, combinatorial optimization, stochastic and robust optimization, machine learning approaches for optimization, and multi-objective scheduling. We especially encourage research that demonstrates the integration of mathematical rigor with computational efficiency in computing environments encompassing cloud, edge, fog, and multi-access edge computing.
Dr. Panagiotis Oikonomou
Guest Editor
Manuscript Submission Information
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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-anonymized 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.
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Keywords
- planning and scheduling
- mathematical programming
- combinatorial optimization
- stochastic and robust optimization
- algorithm design
- machine learning
- multi-objective optimization
- cloud, edge and fog computing
- multi-access edge computing (MEC)
- real-world applications
- energy optimization
- cost optimization
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Published Papers
Mathematics - ISSN 2227-7390