A comparative study by separating and combining swarm-based algorithms into modules.
Ryo TakanoPublished in: KES (2022)
Keyphrases
- recently developed
- theoretical analysis
- computational cost
- learning algorithm
- multi agent
- significant improvement
- optimization problems
- social networks
- database
- data structure
- times faster
- computationally efficient
- benchmark datasets
- orders of magnitude
- computationally expensive
- memory requirements
- computational efficiency
- particle swarm optimization
- search space
- objective function