Constrained optimization via particle evolutionary swarm optimization algorithm (PESO).
Angel Eduardo Muñoz ZavalaArturo Hernández AguirreEnrique Raúl Villa DiharcePublished in: GECCO (2005)
Keyphrases
- optimization algorithm
- constrained optimization
- inertia weight
- particle swarm optimization pso
- multi objective
- evolutionary optimization
- particle swarm optimization
- evolutionary process
- constraint handling
- evolutionary strategy
- objective function
- swarm intelligence
- optimization method
- differential evolution
- genetic algorithm
- evolutionary algorithm
- constrained optimization problems
- honey bee
- pso algorithm
- evolutionary computation
- particle swarm
- unconstrained optimization
- penalty function
- evolutionary multi objective
- control parameters
- augmented lagrangian
- global optima
- particle swarm optimisation
- fitness function
- multi objective optimization
- global optimization
- hybrid optimization algorithm
- artificial bee colony
- convergence speed
- hybrid algorithm
- global search
- lagrange multipliers
- particle swarm optimization algorithm
- penalty functions
- search space
- interval analysis
- multiple objectives
- neural network