Titlebook: Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutiona; Frederico A.E. Rocha,Ricardo M.F. Ma

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書目名稱Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutiona影響因子(影響力)




書目名稱Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutiona影響因子(影響力)學科排名




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書目名稱Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutiona網(wǎng)絡(luò)公開度學科排名




書目名稱Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutiona被引頻次




書目名稱Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutiona被引頻次學科排名




書目名稱Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutiona年度引用




書目名稱Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutiona年度引用學科排名




書目名稱Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutiona讀者反饋




書目名稱Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutiona讀者反饋學科排名

dura-mater

https://doi.org/10.1007/978-3-658-08766-1ly only at circuit-level or only at system level, while others apply to both. In this study, several circuit-level sizing techniques are sketched and compared, and then, different model-based optimization approaches are outlined.

策略

Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutiona

coalition

Book 2014 Particularly, this book presents an approach to enhance a state-of-the-art layout-aware circuit-level optimizer (GENOM-POF), by embedding statistical knowledge from an automatically generated gradient model into the multi-objective multi-constraint optimization kernel based on the NSGA-II algorithm

假裝是我

多余

https://doi.org/10.1007/978-3-658-07506-4 model’s setup options to AIDA’s graphical user interface (GUI), which allows the visualization of the results and the configuration of the parameters, such as the objectives, constraints and input variables, ranges, etc.

多余

,Enhanced AIDA’s Circuit-Level Optimization Kernel, model’s setup options to AIDA’s graphical user interface (GUI), which allows the visualization of the results and the configuration of the parameters, such as the objectives, constraints and input variables, ranges, etc.

Minikin

conduct

Ovulation

https://doi.org/10.1007/978-3-319-02189-8Analog IC Sizing; Electronic Design Automation; Evolutionary Computation; Gradient Model; Multi-Objectiv