Semantically-oriented mutation operator in cartesian genetic programming for evolutionary circuit design.
David HodanVojtech MrazekZdenek VasícekPublished in: GECCO (2020)
Keyphrases
- mutation operator
- genetic programming
- circuit design
- evolutionary algorithm
- evolutionary computation
- genetic algorithm
- fitness function
- evolutionary approaches
- evolutionary process
- crossover operator
- differential evolution
- premature convergence
- grammatical evolution
- evolutionary programming
- evolutionary strategy
- multi objective
- genetic operators
- symbolic regression
- function optimization
- optimization problems
- search direction
- genetic algorithm ga
- genetic search
- design automation
- digital circuits
- nsga ii
- optimization method
- multi objective optimization
- crossover and mutation operators
- crossover and mutation
- convergence rate
- tabu search
- neural network
- ant colony optimization
- estimation of distribution algorithms
- artificial neural networks
- multi objective evolutionary algorithms
- particle swarm
- metaheuristic
- search algorithm
- swarm intelligence
- optimal parameter settings