Finding an Approximate Global Optimum of Characteristic Objects Preferences by Using Simulated Annealing.
Jakub WieckowskiBartlomiej KizielewiczJoanna KolodziejczykPublished in: KES-IDT (2020)
Keyphrases
- global optimum
- simulated annealing
- optimization method
- trust region
- global convergence
- evolutionary algorithm
- objective function
- global solution
- genetic algorithm
- optimal solution
- metaheuristic
- tabu search
- simulated annealing algorithm
- optimization methods
- global minimum
- search space
- d objects
- faster convergence
- hybrid algorithm
- step size
- object model
- hill climbing
- user preferences
- object recognition
- data objects
- np hard
- moving objects
- cost function
- least squares