A hybrid Harrison Hawk optimization based on differential evolution for the node localization problem in IoT networks.
Lotfi BaidarAbdellatif RahmounMiloud MihoubiPascal LorenzSerdar BirogulPublished in: Int. J. Commun. Syst. (2022)
Keyphrases
- differential evolution
- optimization algorithm
- optimization method
- evolution strategy
- evolutionary algorithm
- parameter optimization
- global optimization problems
- differential evolution algorithm
- convergence speed
- real coded
- harmony search
- direct search
- multi objective
- test functions
- particle swarm
- particle swarm optimization
- evolutionary strategy
- mutation operator
- premature convergence
- particle swarm optimization pso
- optimization problems
- optimization methods
- multi objective optimization
- hybrid algorithm
- global optimization
- power flow
- artificial bee colony
- evolutionary programming
- constrained optimization problems
- solving global optimization problems
- numerical optimization problems
- genetic algorithm
- optimization process
- genetic programming
- numerical optimization
- global search
- evolutionary computation
- biogeography based optimization
- multi objective evolutionary algorithms
- fitness function
- power system
- function optimization
- optimization model
- multi objective optimization problems
- simulated annealing