Differential evolution based on fitness Euclidean-distance ratio for multimodal optimization.
Jing J. LiangBo-Yang QuXiaobo MaoBen NiuDongyun WangPublished in: Neurocomputing (2014)
Keyphrases
- euclidean distance
- differential evolution
- evolutionary algorithm
- optimization algorithm
- optimization method
- evolution strategy
- optimization problems
- parameter optimization
- genetic algorithm
- global optimization problems
- real coded
- evolution process
- differential evolution algorithm
- convergence speed
- evolutionary strategy
- harmony search
- test functions
- particle swarm optimization
- mutation operator
- particle swarm
- multi objective
- distance measure
- dimensionality reduction
- distance metric
- similarity measure
- particle swarm optimization pso
- direct search
- distance function
- fitness function
- data points
- crossover operator
- premature convergence
- simulated annealing
- multi objective optimization
- manhattan distance
- function optimization
- numerical optimization problems
- feature vectors
- genetic programming
- solving global optimization problems
- constrained optimization
- global optimization
- initial population
- global search
- numerical optimization
- fitness landscape
- neural network
- optimization procedure
- combinatorial optimization
- genetic algorithm ga
- principal component analysis
- nearest neighbor
- query processing
- training data
- euclidean norm