Grouping-based evolutionary algorithm: seeking balance between feasible and infeasible individuals of constrained optimization problems.
Ming YuchiJong-Hwan KimPublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- constrained optimization problems
- evolutionary algorithm
- differential evolution
- optimization problems
- constraint handling
- fitness function
- evolutionary computation
- multi objective
- augmented lagrangian
- genetic programming
- mutation operator
- crossover operator
- optimization method
- test functions
- multi objective optimization
- equality constraints
- simulated annealing
- search strategies
- genetic algorithm
- function optimization
- perceptual grouping
- infeasible solutions
- particle swarm
- evolutionary strategy
- constrained optimization
- convergence speed
- feasible solution
- evolution strategy
- global convergence
- particle swarm optimization pso
- nsga ii
- genetic algorithm ga
- tabu search
- special case