Hybridization of Differential Evolution using Hill Climbing to solve Constrained Optimization Problems.
Sebastián Alejandro HernándezGuillermo LeguizamónEfrén Mezura-MontesPublished in: Inteligencia Artif. (2013)
Keyphrases
- constrained optimization problems
- differential evolution
- hill climbing
- direct search
- evolutionary algorithm
- simulated annealing
- constraint handling
- hybrid algorithm
- harmony search
- particle swarm optimization
- convergence speed
- optimization algorithm
- differential evolution algorithm
- test functions
- optimization method
- genetic algorithm
- mutation operator
- particle swarm optimization pso
- search space
- genetic algorithm ga
- optimization problems
- biogeography based optimization
- evolution strategy
- crossover operator
- premature convergence
- parameter optimization
- search algorithm
- steepest ascent
- search procedure
- search strategy
- multi objective optimization
- multi objective
- numerical optimization problems
- constrained optimization
- optimization methods
- artificial bee colony
- benchmark problems
- genetic programming
- global optimization problems
- particle swarm
- penalty function
- evolutionary strategy
- global convergence
- global optimum
- swarm intelligence
- global optimization
- combinatorial optimization
- computational intelligence
- particle swarm optimization algorithm
- nsga ii