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10/27/2022
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Lithography modeling is a crucial problem in chip design to ensure a chi...
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07/08/2022
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training
Machine learning techniques have been extensively studied for mask optim...
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03/12/2022
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Lithography simulation is a critical step in VLSI design and optimizatio...
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02/12/2005
Decomposable Problems, Niching, and Scalability of Multiobjective Estimation of Distribution Algorithms
The paper analyzes the scalability of multiobjective estimation of distr...
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02/07/2005
Scalability of Genetic Programming and Probabilistic Incremental Program Evolution
This paper discusses scalability of standard genetic programming (GP) an...
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02/07/2005
Multiobjective hBOA, Clustering, and Scalability
This paper describes a scalable algorithm for solving multiobjective dec...
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05/18/2004
Efficiency Enhancement of Genetic Algorithms via Building-Block-Wise Fitness Estimation
This paper studies fitness inheritance as an efficiency enhancement tech...
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05/18/2004
Designing Competent Mutation Operators via Probabilistic Model Building of Neighborhoods
This paper presents a competent selectomutative genetic algorithm (GA), ...
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05/18/2004
Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head
This paper analyzes the relative advantages between crossover and mutati...
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05/18/2004
Efficiency Enhancement of Probabilistic Model Building Genetic Algorithms
This paper presents two different efficiency-enhancement techniques for ...
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02/15/2004