Quantum-Inspired Evolutionary Algorithms and Its Application to Numerical Optimization Problems.
André Vargas Abs da CruzCarlos R. Hall BarbosaMarco Aurélio Cavalcanti PachecoMarley M. B. R. VellascoPublished in: ICONIP (2004)
Keyphrases
- numerical optimization problems
- quantum inspired
- differential evolution
- evolutionary algorithm
- mutation operator
- binary gravitational search algorithm
- test functions
- differential evolution algorithm
- premature convergence
- multi objective
- convergence speed
- optimization problems
- evolutionary computation
- optimization method
- multi objective optimization
- immune clonal
- genetic algorithm
- evolutionary programming
- optimization algorithm
- constrained optimization problems
- simulated annealing
- quantum computing
- particle swarm optimization pso
- evolution strategy
- crossover operator
- fitness function
- quantum evolutionary algorithm
- hybrid algorithm
- particle swarm optimization
- evolutionary strategy
- initial population
- genetic programming
- particle swarm
- artificial bee colony
- numerical optimization
- test problems
- nsga ii
- benchmark problems
- optimization methods