An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutions.
Tarun Kumer BiswasAlireza AbbasiRipon K. ChakraborttyPublished in: Knowl. Based Syst. (2022)
Keyphrases
- variable length
- multi objective evolutionary algorithms
- fixed length
- influence maximization
- multi objective
- multi objective optimization
- greedy algorithm
- bi objective
- n gram
- social networks
- fitness function
- genetic algorithm
- evolutionary computation
- evolutionary algorithm
- human motion
- test problems
- nsga ii
- multiobjective optimization
- viral marketing
- diffusion model
- optimization algorithm
- image sequences
- information retrieval
- differential evolution
- multiscale
- optimal solution
- multi criteria
- benchmark problems
- bitstream
- feasible solution