Advanced particle swarm assisted genetic algorithm for constrained optimization problems.
Manoj Kumar DhadwalSung Nam JungChang Joo KimPublished in: Comput. Optim. Appl. (2014)
Keyphrases
- particle swarm
- constrained optimization problems
- genetic algorithm
- fitness function
- differential evolution
- evolutionary algorithm
- constraint handling
- global convergence
- optimization method
- particle swarm optimization
- crossover operator
- particle swarm algorithm
- multi objective
- penalty function
- genetic programming
- premature convergence
- genetic algorithm ga
- optimisation problems
- evolutionary computation
- mutation operator
- augmented lagrangian
- hybrid algorithm
- optimization strategy
- equality constraints
- optimization problems
- test functions
- constrained optimization
- search capabilities
- optimization algorithm
- binary particle swarm optimization
- multi objective optimization
- convergence speed
- simulated annealing
- evolution strategy
- hybrid optimization algorithm
- optimization methods
- distribution network
- neural network
- particle swarm optimization algorithm
- particle swarm optimization pso
- artificial intelligence
- particle swarm optimisation
- evolutionary strategy
- predator prey
- fuzzy logic
- global optimization
- job shop scheduling problem
- evolutionary optimization
- swarm intelligence
- pso algorithm
- global search
- artificial neural networks
- expert systems
- global optimum
- memetic algorithm