A New Hybrid Particle Swarm Optimization and Evolutionary Algorithm.
Piotr DziwiñskiLukasz BartczukPiotr GoetzenPublished in: ICAISC (1) (2019)
Keyphrases
- inertia weight
- evolutionary algorithm
- particle swarm optimization
- multi objective
- evolution strategy
- pso algorithm
- particle swarm optimization pso
- differential evolution
- particle swarm
- particle swarm optimization algorithm
- mutation operator
- optimization problems
- convergence speed
- genetic algorithm
- evolutionary computation
- multi objective optimization
- cauchy mutation
- optimization algorithm
- global optimization
- metaheuristic
- simulated annealing
- global search
- hybrid algorithm
- ant colony optimization
- swarm intelligence
- genetic programming
- population diversity
- hybrid evolutionary algorithm
- optimization method
- fitness function
- fitness values
- evolutionary strategy
- particle swarm optimizer
- nsga ii
- shuffled frog leaping algorithm
- multi objective problems
- evolutionary process
- function optimization
- databases
- symbiotic evolutionary algorithm
- evolutionary search
- initial population
- search capabilities
- genetic operators
- crossover operator
- decision trees
- neural network