A Hardware-based Evolutionary Algorithm with Multi-Objective Optimization Operators for On-Chip Transient Fault Detection.
Marcel MertenSebastian HuhnRolf DrechslerPublished in: VTS (2022)
Keyphrases
- multi objective optimization
- fault detection
- evolutionary algorithm
- evolvable hardware
- multi objective
- low cost
- evolutionary computation
- vlsi implementation
- industrial processes
- fault diagnosis
- differential evolution
- fault identification
- optimization problems
- tennessee eastman
- hybrid evolutionary algorithm
- simulated annealing
- failure detection
- fitness function
- multiple objectives
- multi objective optimization problems
- fault detection and diagnosis
- fuel cell
- genetic programming
- nsga ii
- bi objective
- pareto optimal
- evolution strategy
- robust fault detection
- genetic operators
- multi objective genetic algorithms
- genetic algorithm
- real time
- mutation operator
- evolutionary strategy
- optimization algorithm
- ibm power processor
- neural network
- multi objective genetic algorithm
- multi objective evolutionary algorithms
- power plant
- estimation of distribution algorithms
- complex optimization problems
- multiobjective optimization
- fuzzy sets
- fuzzy logic
- objective function
- solving multi objective optimization problems