Predicting Cervical Cancer with Metaheuristic Optimizers for Training LSTM.
Andre Quintiliano Bezerra SilvaPublished in: ICCS (5) (2019)
Keyphrases
- metaheuristic
- cervical cancer
- simulated annealing
- tabu search
- ant colony optimization
- optimization problems
- scatter search
- combinatorial optimization
- search space
- optimal solution
- iterated local search
- genetic algorithm
- vehicle routing problem
- multi start
- path relinking
- benchmark instances
- harmony search
- variable neighborhood search
- optimization methods
- computer aided diagnosis
- optimization method
- particle swarm optimization
- nature inspired
- training set
- evolutionary algorithm
- hybrid metaheuristic
- greedy randomized adaptive search procedure
- search algorithm
- metaheuristic algorithms
- guided local search
- ant colony optimization metaheuristic
- recurrent neural networks
- np hard
- set of benchmark instances