Advances in Artificial Intelligence, Machine Learning and Optimization

Dear Colleagues,

We are pleased to announce a Special Issue on “Advances in Artificial Intelligence, Machine Learning and Optimization”. This Special Issue aims to bring together the latest research and developments at the intersection of these three dynamic fields. Artificial Intelligence (AI), Machine Learning (ML), and Optimization play pivotal roles across various domains, shaping the future of technology, industry, medicine, and society. The potential for synergistic advancements in these areas is vast, and we are excited to explore the cutting-edge contributions driving progress in this space.

We welcome submissions that delve into, but are not limited to, the following topics:

1. Advanced machine learning algorithms for optimization;
2. Integration of AI techniques in optimization problems;
3. Optimization methods for enhancing machine learning models;
4. AI-driven approaches for large-scale optimization;
5. Deep learning applications in solving complex optimization challenges;
6. Metaheuristic and evolutionary algorithms in machine learning and AI;
7. Optimization for neural network training and architecture design;
8. Reinforcement learning for optimization and decision-making;
9. Novel applications of AI and machine learning in optimization problems across various domains;
10. Integrating multi-attribute decision-making techniques with AI, machine learning, and optimization methodologies in the context of advanced manufacturing, smart factories, industrial automation, and related domains.

We encourage researchers and practitioners to contribute their original research, reviews, and perspectives on these and related topics. Submissions should aim to uncover new insights, present state-of-the-art methodologies, and offer practical applications in Artificial Intelligence, Machine Learning, and Optimization.

We look forward to your valuable contributions to this Special Issue, and we are confident that the collective expertise of the research community will lead to an impactful and informative compilation.

Prof. Dr. Zne-Jung Lee
Prof. Dr. Liang-Hung Wang
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 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.