A new asynchronous parallel global optimization method based on simulated annealing and differential evolution.
Jernej OlensekTadej TumaJanez PuhanÁrpád BürmenPublished in: Appl. Soft Comput. (2011)
Keyphrases
- optimization method
- differential evolution
- simulated annealing
- evolutionary algorithm
- optimization algorithm
- global optimum
- genetic algorithm
- optimization methods
- particle swarm optimization
- optimization process
- particle swarm optimization pso
- convergence speed
- differential evolution algorithm
- particle swarm
- test functions
- mutation operator
- optimization procedure
- premature convergence
- multi objective optimization
- artificial bee colony
- hybrid algorithm
- constrained optimization problems
- evolution strategy
- numerical optimization problems
- evolutionary computation
- parameter optimization
- metaheuristic
- biogeography based optimization
- tabu search
- multi objective
- global optimization problems
- nelder mead simplex
- simulated annealing algorithm
- global search
- initial population
- solution quality
- real coded
- function optimization problems
- search space
- crossover operator
- evolutionary strategy
- search procedure
- global optimization
- combinatorial optimization
- genetic algorithm ga
- optimization problems
- solving global optimization problems