Population statistics for particle swarm optimization: Hybrid methods in noisy optimization problems.
Juan Rada-VilelaMark JohnstonMengjie ZhangPublished in: Swarm Evol. Comput. (2015)
Keyphrases
- particle swarm optimization
- optimization problems
- population diversity
- evolutionary algorithm
- metaheuristic
- pso algorithm
- multi objective
- opposition based learning
- differential evolution
- particle swarm optimization algorithm
- objective function
- evolutionary strategy
- cost function
- convergence speed
- fitness values
- initial population
- mutation operator
- test problems
- combinatorial optimization
- candidate solutions
- swarm intelligence
- global optimization
- particle swarm optimization pso
- global search
- evolutionary computation
- evolutionary process
- nsga ii
- hybrid algorithm
- cultural algorithms
- particle swarm
- multi objective optimization
- genetic algorithm
- noisy data
- inertia weight
- multiscale
- optimal solution
- population size
- noise free
- optimization methods
- statistical modeling
- case study
- genetic programming
- computer vision
- traveling salesman problem
- incomplete data
- neural network
- particle swarm optimizer
- noisy environments
- website
- lower bound
- premature convergence
- computational intelligence
- simulated annealing
- crossover operator
- confidence intervals
- data sets
- solution quality