Improvement of the performance of the Quantum-inspired Evolutionary Algorithms: structures, population, operators.
Mohammad-H. Tayarani-N.M.-R. Akbarzadeh-TPublished in: Evol. Intell. (2014)
Keyphrases
- quantum inspired
- evolutionary algorithm
- mutation operator
- differential evolution
- binary gravitational search algorithm
- premature convergence
- multi objective
- crossover operator
- optimization problems
- initial population
- evolutionary computation
- genetic algorithm
- evolutionary programming
- evolutionary process
- evolutionary strategy
- multi objective optimization
- simulated annealing
- genetic programming
- differential evolution algorithm
- fitness function
- quantum evolutionary algorithm
- nsga ii
- quantum computing
- immune clonal
- convergence rate
- optimization method
- evolution strategy
- principles of quantum computing
- particle swarm optimization
- hybrid algorithm
- population size
- tabu search
- mobile phone