A New Evolutionary Algorithm Based on Simplex Crossover and PSO Mutation for Constrained Optimization Problems.
Yibo HuPublished in: CIS (2010)
Keyphrases
- constrained optimization problems
- differential evolution
- particle swarm optimization pso
- mutation operator
- crossover operator
- evolutionary algorithm
- particle swarm optimization
- fitness function
- constraint handling
- genetic algorithm ga
- genetic algorithm
- pso algorithm
- optimization algorithm
- convergence speed
- mutation operation
- particle swarm optimisation
- premature convergence
- particle swarm
- hybrid algorithm
- augmented lagrangian
- differential evolution algorithm
- function optimization problems
- simplex search
- multi objective
- test functions
- function optimization
- swarm intelligence
- particle swarm optimization algorithm
- equality constraints
- genetic programming
- genetic operators
- cauchy mutation
- optimization method
- linear programming
- simplex method
- evolutionary computation
- optimization problems
- biogeography based optimization
- crossover and mutation
- multi objective optimization
- evolution strategy
- traveling salesman problem
- particle swarm optimizer
- inertia weight
- simulated annealing
- evolutionary strategy
- global optimization
- evolutionary process
- nsga ii
- artificial neural networks
- neural network
- penalty function
- global search