Improved Rao algorithm: a simple and effective algorithm for constrained mechanical design optimization problems

Rao, R. Venkata; Pawar, R. B.

doi:10.1007/s00500-022-07589-5

Cited by 6 publications

(2 citation statements)

References 40 publications

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“…It also reported that PSO showed better overall results than other EAs such as ACO, [35,38,43,45] harmony search (HS), [39,44] scatter search (SS), [46][47][48] hoopoe heuristic (HH), [39] immune algorithm (IA), [38,47] and slightly better performance (faster convergence and equal solution accuracy) than artificial bee colony algorithm (ABC). [39,46,47,49,50] Therefore, using PSO to optimize fuzzy rules in TRC seems to be a preferable approach. In 2014, a top side-pouring twin-roll caster (TSTRC) was reported by Wang and Zhou [51] to cast nonferrous metals and recently TSTRC was reported to cast 6.5% Si steel successfully.…”

Section: Introductionmentioning

confidence: 99%

“…It also reported that PSO showed better overall results than other EAs such as ACO, [ 35,38,43,45 ] harmony search (HS), [ 39,44 ] scatter search (SS), [ 46–48 ] hoopoe heuristic (HH), [ 39 ] immune algorithm (IA), [ 38,47 ] and slightly better performance (faster convergence and equal solution accuracy) than artificial bee colony algorithm (ABC). [ 39,46,47,49,50 ]…”

Section: Introductionmentioning

confidence: 99%

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Control of the Molten Steel Level in the Top Side‐Pouring Twin‐Roll Casting Process Based on Fuzzy Rules Optimized by Particle Swarm Optimization Algorithm

Zhou

Mao

Xuan

et al. 2023

steel research int.

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Twin‐roll strip casting is a near‐net‐shape casting technology that can produce thin steel strips directly from molten steel. Stably controlling the molten steel level is regarded as an important issue to ensure strip quality and casting process stability. As the control of the molten steel level is a time‐varying, nonlinear, and multidisturbance complex system, it is difficult to establish an accurate process model for designing a model‐based controller. Top side‐pouring twin‐roll casting is a new kind of twin‐roll strip casting technology. This study introduces the control system of the top side‐pouring twin‐roll casting process. A fuzzy logic controller (FLC) with its fuzzy rules optimized by particle swarm optimization (PSO) is developed to regulate the molten steel level. Simulation results show that the performance of the FLC can be improved while its fuzzy rules are optimized by PSO. The objective function of PSO has a great influence on the optimization of the fuzzy rules. The top side‐pouring twin‐roll casting experiments are carried out using the FLC with its fuzzy rules optimized by PSO; the results show that strip quality and casting process stability are guaranteed.

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