2020
DOI: 10.1109/access.2020.3006903
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An Improved Salp Swarm Algorithm With Spiral Flight Search for Optimizing Hybrid Active Power Filters’ Parameters

Abstract: In view of various issues occasioned by harmonic pollution in the power system, the optimization of the filter parameters is of great significance. However, under the system constraints, estimating the filter parameters accurately and reliably is a challenging task. To complete this task, this paper proposes an improved salp swarm algorithm based on the spiral flight search strategy (ISSA-SFS), which rationally integrates the spiral flight search (SFS) strategy, the multiple leader (ML) strategy, and the rando… Show more

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Cited by 6 publications
(1 citation statement)
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References 49 publications
(84 reference statements)
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“…Despite the variety of applications for the SSA algorithm, but it still suffers from some limitations. Like finding the right balance between diversification and intensification, [53,42,54,55,56,42,54], bad convergence accuracy [57,58,59], slow convergence rate [57,58,60,61,62,63,64,65,54,42,66,67,68,69,70], Lack of randomization components, [60], problems in discrete domain [71], deficiency of optimization ability, [65], and exploration ability [54].…”
Section: Introductionmentioning
confidence: 99%
“…Despite the variety of applications for the SSA algorithm, but it still suffers from some limitations. Like finding the right balance between diversification and intensification, [53,42,54,55,56,42,54], bad convergence accuracy [57,58,59], slow convergence rate [57,58,60,61,62,63,64,65,54,42,66,67,68,69,70], Lack of randomization components, [60], problems in discrete domain [71], deficiency of optimization ability, [65], and exploration ability [54].…”
Section: Introductionmentioning
confidence: 99%