DSM-DE: a differential evolution with dynamic speciation-based mutation for single-objective optimization.
Libao DengLili ZhangHaili SunLiyan QiaoPublished in: Memetic Comput. (2020)
Keyphrases
- differential evolution
- multi objective optimization problems
- evolutionary algorithm
- particle swarm optimization pso
- single objective optimization
- optimization algorithm
- multi objective optimization
- convergence speed
- mutation operator
- differential evolution algorithm
- genetic algorithm
- particle swarm optimization
- function optimization problems
- premature convergence
- adaptive differential evolution
- multi objective
- evolution strategy
- multi objective evolutionary algorithms
- parameter optimization
- numerical optimization problems
- global optimization problems
- evolutionary programming
- particle swarm
- pso algorithm
- neural network
- crossover operator
- solving global optimization problems
- multiobjective optimization
- biogeography based optimization
- evolutionary computation
- evolutionary strategy
- genetic operators
- nsga ii
- simulated annealing