Parameters optimization of Support Vector Machine based on Simulated Annealing and Genetic Algorithm.
Qilong ZhangGanlin ShanXiusheng DuanZining ZhangPublished in: ROBIO (2009)
Keyphrases
- simulated annealing
- genetic algorithm
- optimization method
- parameter optimization
- evolutionary strategy
- metaheuristic
- optimization methods
- simulated annealing algorithm
- genetic algorithm ga
- evolutionary algorithm
- stochastic search
- global search
- tabu search
- real coded
- annealing algorithm
- random search
- combinatorial optimization
- genetic algorithm is applied
- optimization problems
- evolutionary computation
- differential evolution
- roulette wheel selection
- optimization procedure
- optimization process
- fitness evaluation
- immune genetic algorithm
- continuous optimization
- evolution strategy
- optimization algorithm
- hill climbing
- particle swarm optimization pso
- fine tuning
- optimal parameters
- hybrid algorithm
- global optimum
- ant colony optimization
- multi objective optimization
- artificial neural networks
- job shop scheduling problem
- multi objective
- maximum likelihood
- harmony search
- fuzzy logic
- mutation probability
- sensitivity analysis
- global optimization
- highly non linear
- scheduling problem
- genetic operators
- particle swarm optimization
- fitness function
- penalty function
- least squares
- solution quality
- parameter values
- search space
- multi population
- particle swarm
- parameter settings
- image sequences
- neural network