Comparative Study on Ant Colony Optimization (ACO) and K-Means Clustering Approaches for Jobs Scheduling and Energy Optimization Model in Internet of Things (IoT).
Sumit KumarVijender Kumar SolankiSaket Kumar ChoudharyAli SelamatRubén González CrespoPublished in: Int. J. Interact. Multim. Artif. Intell. (2020)
Keyphrases
- ant colony optimization
- comparative study
- optimization model
- clustering approaches
- k means
- parallel machines
- scheduling problem
- clustering method
- clustering algorithm
- precedence constraints
- swarm intelligence
- metaheuristic
- flowshop
- aco algorithm
- ant colony
- optimization process
- processing times
- traveling salesman problem
- particle swarm optimization
- hierarchical clustering
- combinatorial optimization problems
- aco algorithms
- data clustering
- document clustering
- subspace clustering
- ant colony optimization algorithm
- nature inspired
- data objects
- ant colony algorithm
- function optimization
- ant colonies
- artificial ants
- genetic algorithm
- particle swarm optimization pso
- semi supervised
- single machine
- pairwise constraints
- spectral clustering
- cluster analysis
- single machine scheduling problem
- tabu search
- high dimensional data
- image segmentation
- pheromone trails
- decision trees
- neural network