Hybridizing the Cuckoo Search Algorithm with Different Mutation Operators for Numerical Optimization Problems.
Bilal H. Abed-alguniDavid J. PaulPublished in: J. Intell. Syst. (2020)
Keyphrases
- numerical optimization problems
- mutation operator
- differential evolution
- search algorithm
- evolutionary algorithm
- premature convergence
- particle swarm optimization
- optimization algorithm
- test functions
- convergence speed
- optimization method
- crossover operator
- genetic algorithm
- branch and bound
- multi objective optimization
- constrained optimization problems
- hybrid algorithm
- particle swarm optimization pso
- genetic operators
- multi objective
- evolution strategy
- artificial bee colony
- search space
- initial population
- nsga ii
- population diversity
- global search
- tabu search
- particle swarm
- particle swarm optimization algorithm
- pso algorithm
- convergence rate
- numerical optimization
- crossover and mutation operators
- support vector machine