Artificial Intelligence and Optimization in Engineering Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 972
Special Issue Editors
Interests: time/sequence-dependent scheduling; meta-heuristics; evolutionary computation
Interests: design of experiments; optimization modeling; artificial intelligence and metaheuristics; satellite scheduling
Interests: intelligent optimization; resource scheduling; task planning
Special Issues, Collections and Topics in MDPI journals
Interests: planning and scheduling; swarm intelligence; evolutionary computation; intelligent transportation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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We invite researchers, academics, and industry experts to submit original, unpublished research papers that present novel AI and optimization techniques, such as meta/hyper-heuristics and machine learning methods, in these engineering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
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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.
Keywords
- artificial intelligence
- engineering applications
- optimization techniques
- manufacturing
- energy management
- transportation
- supply chain management
- space research
- real-time decision making
- data processing
- automated systems
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