Multi-objective optimization and inverse design of complementary field-effect transistor using combined approach of machine learning and non-dominated sorting genetic algorithms for next-generation semiconductor devices.
Sangpill KimSeong-Ji MinSeung-Geun JungHyunyong YuPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- multi objective optimization
- multi objective
- evolutionary algorithm
- machine learning
- genetic algorithm
- field effect transistors
- semiconductor devices
- multi objective genetic algorithms
- differential evolution
- high density
- multi objective optimization problems
- design process
- multiple objectives
- nsga ii
- cost effective
- pareto optimal
- evolutionary strategy
- multi objective genetic algorithm
- optimum design
- case study
- mathematical analysis
- estimation of distribution algorithms
- steady state
- metaheuristic
- particle swarm optimization
- pareto optimal set