A survey of dynamic parameter setting methods for nature-inspired swarm intelligence algorithms.
Han Duy PhanKirsten EllisJan Carlo BarcaAlan DorinPublished in: Neural Comput. Appl. (2020)
Keyphrases
- swarm intelligence
- nature inspired
- parameter settings
- artificial bee colony
- ant colonies
- parameter values
- optimization methods
- ant colony optimization
- particle swarm optimization pso
- neural network
- ant colony optimization algorithm
- particle swarm optimization
- machine learning
- traveling salesman problem
- evolutionary computation
- genetic algorithm ga
- metaheuristic
- computational intelligence
- stock market
- multiobjective optimization
- state space
- multi objective
- objective function
- theoretical and empirical study