Adaptive B-spline curve fitting with minimal control points using an improved sparrow search algorithm for geometric modeling of aero-engine blades DOI
Chang Su, Yong Han,

Suihao Lu

et al.

Multimedia Systems, Journal Year: 2024, Volume and Issue: 30(5)

Published: Aug. 30, 2024

Language: Английский

Optimization of shafting and excitation dual damping controller for combined pumped storage and wind power system DOI

Jiening Li,

Wencheng Guo

Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133894 - 133894

Published: Nov. 1, 2024

Language: Английский

Citations

1

Application of sparrow search swarm intelligence optimization algorithm in identifying the critical surface in slope-stability DOI Creative Commons
Abhijit Saha

Discover Geoscience, Journal Year: 2024, Volume and Issue: 2(1)

Published: Oct. 24, 2024

The use of nature-inspired meta-heuristics to tackle complex optimization problems is steadily gaining popularity within a rapidly evolving world. Swarm intelligence (SI) motivated by behavior community-based organisms flocks birds, schools fish, colonies ants and bees performs the search through agents whose trajectories are primarily adjusted stochastically sporadically deterministically, golden rules drawn from Mother Nature. Each entity swarm swayed its individual 'best' group's position while moving randomly converge optimal competition cooperation. sparrow algorithm (SSA), developed Xuea Shen (Xue in Syst Sci Cont Eng 8:22–34, 2020) very recent SI approach that adopts producer–scrounger model metaphorically for designing optimum searching strategies, inspired foraging, anti-predation behavior, overall group wisdom sparrows. SSA has been experimented on some hard benchmark test functions effectiveness thereafter, applied slope-stability critical failure surface. objective function be optimized factor safety against given Bishop's (Bishop Geotechnique 5:7–17, 1955) simplified method. Results show strong contender bio-inspired methods like genetic algorithms, big-bang big-crunch, simulated annealing, artificial bee colony algorithms. study illustrates flexibility, efficiency, robustness methodology optimization.

Language: Английский

Citations

1

Adaptive B-spline curve fitting with minimal control points using an improved sparrow search algorithm for geometric modeling of aero-engine blades DOI
Chang Su, Yong Han,

Suihao Lu

et al.

Multimedia Systems, Journal Year: 2024, Volume and Issue: 30(5)

Published: Aug. 30, 2024

Language: Английский

Citations

0