Infeasibility Driven Evolutionary Algorithm with Feed-Forward Prediction Strategy for Dynamic Constrained Optimization Problems.
Patryk FilipiakPiotr LipinskiPublished in: EvoApplications (2014)
Keyphrases
- constrained optimization problems
- evolutionary algorithm
- feed forward
- constraint handling
- optimization problems
- differential evolution
- multi objective
- evolutionary computation
- constrained optimization
- fitness function
- artificial neural networks
- augmented lagrangian
- back propagation
- evolutionary strategy
- neural network
- neural nets
- crossover operator
- simulated annealing
- multi objective optimization
- genetic programming
- recurrent neural networks
- hidden layer
- genetic algorithm
- biologically plausible
- penalty function
- optimization method
- search strategies
- global convergence
- evolution strategy
- visual cortex
- optimization algorithm
- test functions
- machine learning
- particle swarm
- expert systems
- traveling salesman problem
- mutation operator
- feasible solution
- particle swarm optimization
- np hard
- objective function
- decision making
- data mining