Rock brittleness prediction through two optimization algorithms namely particle swarm optimization and imperialism competitive algorithm.
Azham HussainAravindhan SurendarA. ClementkingSujith KanagarajanLubov K. IlyashenkoPublished in: Eng. Comput. (2019)
Keyphrases
- particle swarm optimization
- prediction algorithm
- theoretical analysis
- learning algorithm
- computational complexity
- times faster
- combinatorial optimization
- computational cost
- optimization algorithm
- computationally efficient
- population based optimization
- worst case
- particle swarm optimization algorithm
- algorithms require
- single pass
- computational efficiency
- convergence rate
- stochastic gradient
- objective function
- exhaustive search
- space complexity
- related algorithms
- classification algorithm
- optimization problems
- global convergence
- k means
- hybrid algorithm
- cost function
- decomposition algorithm
- preprocessing
- significant improvement
- evolution strategy
- dynamic programming
- detection algorithm
- constrained optimization
- incremental algorithms
- synthetic datasets
- global search
- filtering algorithm
- prediction error
- particle swarm
- memory requirements
- synthetic and real datasets
- inertia weight
- expectation maximization
- maximum flow
- optimal solution
- multilevel thresholding
- ant colony optimization
- optimization criteria
- search space
- evolutionary algorithm
- np hard
- global optimization
- prediction accuracy