A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT.
Farhad Soleimanian GharehchopoghBenyamin AbdollahzadehSaeid BarshandehBahman ArastehPublished in: Internet Things (2023)
Keyphrases
- multi objective
- evolutionary algorithm
- optimization algorithm
- optimization problems
- multiple objectives
- genetic algorithm
- differential evolution
- conflicting objectives
- evolutionary optimization
- multiobjective optimization
- multi objective optimization
- optimization method
- optimum design
- automatic detection
- multi objective optimization problems
- dynamic environments
- function optimization
- dynamic optimization
- simulated annealing
- detection algorithm
- mutation operator
- pareto optimal
- objective function
- management system
- multi objective evolutionary algorithms
- evolutionary computation
- detection method
- engineering design problems
- particle swarm optimization
- object detection
- trade off
- global optimization
- optimization process
- false alarms
- genetic programming
- nsga ii
- fitness function
- detection rate
- multi objective evolutionary
- optimal solution
- digital libraries
- peer to peer
- anomaly detection
- false positives
- candidate solutions
- bi objective
- affine invariant
- genetic operators
- particle swarm
- evolution strategy
- constrained optimization