A New Approach to Generate Solutions Combining Crossover and Estimation of Distribution Operators for EMO Algorithm.
Masahide MiyamotoShinya WatanabePublished in: SSCI (2019)
Keyphrases
- optimization algorithm
- benchmark problems
- estimation algorithm
- optimal solution
- solution quality
- computational complexity
- cost function
- computational cost
- detection algorithm
- genetic algorithm
- computationally efficient
- significant improvement
- expectation maximization
- learning algorithm
- computational efficiency
- differential evolution
- solution space
- preprocessing
- genetic programming
- multi objective optimization problems
- density function
- np hard
- parameter estimation
- particle swarm optimization
- simulated annealing
- probability distribution
- matching algorithm
- k means
- convergence rate
- segmentation algorithm
- search algorithm
- similarity measure
- recognition algorithm
- multi objective optimization
- optimization problems
- image segmentation
- estimation accuracy
- optimal or near optimal