A self-adaptive Harris Hawks optimization algorithm with opposition-based learning and chaotic local search strategy for global optimization and feature selection.
Abdelazim G. HussienMohamed AminPublished in: Int. J. Mach. Learn. Cybern. (2022)
Keyphrases
- search strategy
- global optimization
- optimization algorithm
- opposition based learning
- particle swarm optimization
- multi objective
- feature selection
- differential evolution
- control parameters
- particle swarm optimization pso
- standard pso
- search algorithm
- pso algorithm
- search space
- optimization method
- multi objective genetic algorithm
- multi objective optimization
- swarm intelligence
- convergence speed
- ant colony algorithm
- hybrid algorithm
- global optima
- biogeography based optimization
- evolutionary algorithm
- particle swarm
- multiobjective optimization
- metaheuristic
- particle swarm optimization algorithm
- initial population
- constraint handling
- global search
- ant colony optimization
- multiple objectives
- inertia weight
- genetic algorithm
- search capabilities
- premature convergence
- mutation operator
- bp neural network
- objective function
- feature subset selection
- constrained optimization problems
- pid controller
- nsga ii
- particle swarm optimizer
- pareto optimal
- particle swarm optimisation
- feature subset