Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM - Cambridge University Press | 2024 Impact Factor: 2.3 | Cite Score: 4.9 | Q2

About this Journal:
AI EDAM is a fully gold open access journal. It publishes original articles about significant AI theory and applications based on the most up-to-date research in all branches and phases of engineering. Suitable topics include: analysis and evaluation; selection; configuration and design; manufacturing and assembly; and concurrent engineering. Specifically, the journal is interested in the use of AI in planning, design, analysis, simulation, qualitative reasoning, spatial reasoning and graphics, manufacturing, assembly, process planning, scheduling, numerical analysis, optimization, distributed systems, multi-agent applications, cooperation, cognitive modeling, learning and creativity. AI EDAM is also interested in original, major applications of state-of-the-art knowledge-based techniques to important engineering problems.
Topics include design configuration, assembly, process planning, simulation, optimization, scheduling, spatial & qualitative reasoning, graphics, multi-agent systems, learning, creativity, etc.
Indexed in major databases such as SCI Expanded (Web of Science), Scopus, Inspec, and others.
Focuses on both significant theory and applied/industrial work using knowledge-based and state-of-the-art AI techniques.

Scope of the Journal:
Engineering design and configuration;
Manufacturing and assembly systems;
Concurrent engineering;
Planning, scheduling, simulation in manufacturing;
Optimization, numerical analysis, process planning;
AI methods: spatial reasoning, qualitative reasoning, graphics, cognitive modeling;
Learning, cooperation, distributed systems, multi-agent applications;
Case studies & applications of AI in industrial settings.