Simulated annealing with artificial neural network fitness function for ECG amplifier testing.
Damian GrzechcaPublished in: ECCTD (2011)
Keyphrases
- fitness function
- genetic algorithm ga
- simulated annealing
- genetic algorithm
- artificial neural networks
- evolutionary algorithm
- genetic programming
- evolutionary computation
- genetic operators
- neural network
- tabu search
- metaheuristic
- benchmark problems
- particle swarm optimization pso
- multi objective
- optimization method
- combinatorial optimization
- simulated annealing algorithm
- particle swarm optimisation
- mutation operator
- test data generation
- fitness evaluation
- crossover operator
- optimization methods
- search space
- hybrid algorithm
- solution space
- evolutionary search
- back propagation
- global optimum
- ecg signals
- initial population
- penalty function
- multi objective evolutionary algorithms
- binary particle swarm optimization
- fuzzy logic
- particle swarm
- constrained optimization problems
- crossover and mutation
- parameter settings
- global search
- test cases
- genetic algorithm is employed
- population size
- evolutionary process
- premature convergence
- pso algorithm
- software testing
- job shop scheduling problem
- nsga ii
- solution quality