Does the ACO \mathbb _R Algorithm Benefit from the Use of Crossover?
Ashraf M. AbdelbarKhalid M. SalamaPublished in: ANTS Conference (2018)
Keyphrases
- optimization algorithm
- ant colony optimization
- cost function
- detection algorithm
- computational complexity
- np hard
- preprocessing
- search space
- experimental evaluation
- genetic algorithm
- particle swarm optimization
- computational cost
- tree structure
- classification algorithm
- times faster
- similarity measure
- improved algorithm
- genetic algorithm ga
- expectation maximization
- segmentation algorithm
- neural network
- simulated annealing
- dynamic programming
- theoretical analysis
- input data
- high accuracy
- optimal solution
- matching algorithm
- objective function
- traveling salesman problem
- convergence rate
- hybrid algorithm
- learning algorithm
- genetic operators
- ant colony optimization algorithm
- ant colonies