[Case Study] Literature Review on Multi-Objective Optimization in Semiconductor Design and Evaluation

Select relevant papers on the web using keywords from the research theme and list them in order of citation count. Here is an example of efficiently selecting papers that require close reading.

We will introduce a case study of a literature survey on multi-objective optimization in semiconductor design and evaluation conducted by our company. We select relevant papers from the web based on keywords related to the research theme and compile a list in order of citation count. Furthermore, we identify papers that require close reading, focusing on details of models and algorithms, as well as the data discussed within the papers. We will then share the insights gained from the close reading and engage in discussions with our clients regarding the models and methods. 【Work Content】 ■ Literature survey on new algorithms related to multi-objective optimization and new technologies related to AI utilization in sensing/design evaluation ■ Survey of academic societies specializing in the field of multi-objective optimization ■ Trend survey of models and methods in multi-objective optimization *For more details, please refer to the PDF document or feel free to contact us.

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