A novel method for solving min-max problems by using a modified particle swarm optimization.
Kazuaki MasudaKenzo KuriharaEitaro AiyoshiPublished in: SMC (2011)
Keyphrases
- min max
- significant improvement
- linearly constrained
- combinatorial optimization
- cost function
- computational cost
- high accuracy
- search methods
- support vector machine
- experimental evaluation
- preprocessing
- computational complexity
- dynamic programming
- clustering method
- detection method
- synthetic data
- objective function
- np complete problems
- neural network
- metaheuristic
- high precision
- clustering algorithm