Artificial Intelligence and Optimization in Engineering Applications

Dear Colleagues,

 Artificial intelligence (AI) is revolutionizing the engineering landscape, transforming traditional processes and operations into intelligent, automated systems. AI's ability to process vast amounts of data, learn from patterns, and make informed decisions in real-time is enhancing efficiency, productivity, and innovation in various engineering sectors. To further explore and showcase these advancements, this Special Issue aims to gather cutting-edge research papers that delve into the integration of AI and optimization techniques in diverse engineering settings, including but not limited to the following:

• Manufacturing: Utilizing AI and optimization algorithms for smart factories, production planning, and supply chain management.
• Energy: Applying AI-driven optimization techniques for energy production, grid optimization, and demand-side management.
• Transportation: Developing AI-powered optimization models for traffic management, routing, and scheduling in logistics and transportation networks.
• Space Research: Exploring AI techniques for data analysis, spacecraft control, satellite scheduling and autonomous mission planning.
• Supply Chain Management: Employing AI and optimization to improve the efficiency and resilience of supply chain networks.
• Resource Allocation: Utilizing AI to optimize the allocation of limited resources in industries such as healthcare, mining, and agriculture.

We invite researchers, academics, and industry experts to submit original, unpublished research papers that present novel AI and optimization techniques, such as meta/hyper-heuristics and machine learning methods, in these engineering applications. Contributions should demonstrate the significance of AI and optimization in enhancing engineering processes, reducing costs, and improving overall performance.

Dr. Lei He
Dr. Xiaolu Liu
Prof. Dr. Lining Xing
Prof. Dr. Guohua Wu
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 100 words) can be sent to the Editorial Office for announcement on this website.

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-blind 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.

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.

• artificial intelligence
• engineering applications
• optimization techniques
• manufacturing
• energy management
• transportation
• supply chain management
• space research
• real-time decision making
• data processing
• automated systems