A novel multi-objective optimisation algorithm: artificial bee colony in conjunction with bacterial foraging.
Mohammad Javad MahmoodabadiMilad TaherkhorsandiRahmat Abedzadeh MaafiKrystel K. Castillo-VillarPublished in: Int. J. Intell. Eng. Informatics (2015)
Keyphrases
- multi objective
- artificial bee colony
- optimisation algorithm
- bacterial foraging
- particle swarm optimization
- optimisation problems
- particle swarm
- optimization algorithm
- particle swarm optimization pso
- ant colony
- evolutionary algorithm
- differential evolution
- multiobjective optimization
- particle swarm optimization algorithm
- swarm intelligence
- ant colony optimization
- pso algorithm
- multi objective optimization
- evolutionary computation
- particle swarm optimisation
- ant colony optimisation
- genetic algorithm
- pid controller
- objective function
- nature inspired
- convergence speed
- hybrid algorithm
- multiple objectives
- ant colony algorithm
- benchmark problems
- premature convergence
- pareto optimal
- global optimization
- nsga ii
- fitness function
- closed loop
- genetic algorithm ga
- global search
- artificial immune system
- control parameters
- test functions
- decision making
- learning algorithm
- neural network
- bp neural network
- machine learning