Journal: Operations Research Forum
<https://www.springer.com/journal/43069>
Special Issue Title: Operations Research & Machine Learning and Artificial
Intelligence
More information: https://link.springer.com/collections/daceciabci
We welcome your submissions.
----------------- Aim and Scope: -------------------
Operational research (OR) and optimization methods play an important role
in tackling complicated problems in a wide range of fields. These methods
facilitate problem-solving leading to better decision making. Breaking
complex problems into multiple simpler sub-problems and solving them is
called OR which is a promising problem-solving tool. Machine learning (ML)
and artificial intelligence (AI) are both branches of computer science.
These are the two most popular technologies for developing intelligent
systems. The interplay between OR, ML and Al is one of the most significant
achievements in modern computer science. OR and optimization techniques are
crucial in the process of developing algorithms in ML and AI. However, ML
and AI are not simply consuming OR and optimization techniques; they are
rapidly expanding fields that are generating new OR and optimization ideas
and helping to solve problems in these disciplines.
This special issue aims to consider cutting-edge approaches for interaction
between OR, ML, and AI in a way useful to scholars in all these
disciplines.
The special issue covers but is not limited to the following topics:
Operations Research
Optimization
Machine Learning
Artificial Intelligence
OR for ML and AI
ML and AI for OR
Supervised learning
Semi-supervised learning
Unsupervised learning
Deep learning
Big data
Applications of OR, Optimization, ML and AI in domains such as robotics,
business, energy and power systems, health care, environmental sciences,
portfolio analysis and all other relevant areas.
Best regards,
Hossein Moosaei
https://scholar.google.com/citations?hl=en&user=4aZwjNUAAAAJ&view_op=list_works&sortby=pubdate
<http://moosaei.megapars.ir> <http://moosaei.megapars.ir>
<http://moosaei.megapars.ir>
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