Shortening the gap between pre- and post-layout analog IC performance by reducing the LDE-induced variations with multi-objective simulated quantum annealing.
Ricardo MartinsNuno LourençoRicardo PóvoaNuno HortaPublished in: Eng. Appl. Artif. Intell. (2021)
Keyphrases
- multi objective
- evolutionary algorithm
- multi objective optimization
- simulated annealing
- optimization algorithm
- multiobjective optimization
- genetic algorithm
- multiple objectives
- nsga ii
- objective function
- particle swarm optimization
- pareto optimal
- quantum computation
- multi objective optimization problems
- integrated circuit
- multi objective evolutionary algorithms
- evolutionary optimization
- simulation model
- bi objective
- circuit design
- quantum inspired
- multi objective evolutionary
- multi objective genetic algorithms
- conflicting objectives
- layout design
- signal processing
- discriminant embedding