Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications.
Majdi I. RadaidehKoroush ShirvanPublished in: Knowl. Based Syst. (2021)
Keyphrases
- constrained optimization
- evolutionary algorithm
- constrained optimization problems
- reinforcement learning
- population based incremental learning
- evolutionary strategy
- constraint handling
- multi objective
- unconstrained optimization
- optimization problems
- differential evolution
- evolutionary computation
- penalty function
- augmented lagrangian
- fitness function
- inequality constraints
- simulated annealing
- objective function
- multi objective optimization
- genetic programming
- genetic operators
- closed form solutions
- interval analysis
- differential evolution algorithm
- population diversity
- iterative methods
- lagrange multipliers
- penalty functions
- optimization method
- multi class
- evolution strategy
- metaheuristic
- lagrange multiplier method
- genetic algorithm