A new parameter setting-based modified differential evolution for function optimization.
Sukanta NamaApu Kumar SahaPublished in: Int. J. Model. Simul. Sci. Comput. (2020)
Keyphrases
- function optimization
- differential evolution
- parameter settings
- evolutionary algorithm
- function optimization problems
- mutation operator
- crossover operator
- parameter optimization
- genetic algorithm
- genetic algorithm ga
- convergence speed
- parameter values
- differential evolution algorithm
- particle swarm optimization
- optimization algorithm
- constrained optimization problems
- optimization method
- particle swarm optimization pso
- multi objective optimization
- multi objective
- clonal selection algorithm
- population size
- hybrid algorithm
- simulated annealing
- optimization problems
- ant colony optimization
- genetic programming
- biogeography based optimization
- machine learning
- search algorithm
- fitness function
- learning problems
- reinforcement learning
- semi supervised
- training data
- learning algorithm