Name
Abstract | ||
|---|---|---|
•We presented a novel modified cuckoo search algorithm (NMCSA) for optimal placement of actuators problems.•The proposed NMCSA employs a novel adaptive strategy to balance exploration and exploitation, which lead to achieve a more rapid and efficient algorithm.•Actuators located in positions determined by proposed algorithm can effectively reduce control spillover.•The NMCSA is compared with state-of-the algorithms and their variants. Computational results show that the NMCSA outperforms with many other metaheuristics in the literature. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2018.03.004 | Applied Soft Computing |
Keywords | Field | DocType |
Evolutionary algorithm,Cuckoo search,Optimal placement of actuators,Adaptive strategy,Modified cuckoo search | Convergence (routing),Mathematical optimization,Adaptive strategies,Evolutionary algorithm,Active vibration control,Algorithm,Cuckoo search,Mathematics,Metaheuristic,Actuator | Journal |
Volume | Issue | ISSN |
67 | C | 1568-4946 |
Citations | PageRank | References |
2 | 0.37 | 25 |
Authors | ||
5 | ||