Model Auto Extraction for Gate-All-Around Silicon Nanowire MOSFETs Using A Decomposition-Based Many-Objective Evolutionary Algorithm
Author:
Affiliation:
1. National Yang Ming Chiao Tung University,Parallel and Scientific Computing Laboratory,Hsinchu,Taiwan,300
Funder
Ministry of Science and Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9806045/9806137/09806274.pdf?arnumber=9806274
Reference12 articles.
1. Effectiveness of scalability improvement attempts on the performance of NSGA-II for manyobjective problems;ishibuchi;Proc 10th Annu Conf Genet Evol Comput Atlanta GA USA,2008
2. Preference-inspired co-evolutionary algorithms using weight vectors
3. Parallel Genetic Algorithm for Intelligent Model Parameter Extraction of Metal-Oxide-Semiconductor Field Effect Transistors
4. A Decomposition-Based Many-Objective Evolutionary Algorithm With Two Types of Adjustments for Direction Vectors
5. A fast and elitist multiobjective genetic algorithm: NSGA-II
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