2015
DOI: 10.1016/j.eswa.2014.12.020
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Optimal design of FIR fractional order differentiator using cuckoo search algorithm

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Cited by 92 publications
(35 citation statements)
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“…Kumar and Rawat designed an FIR fractional order differentiator using cuckoo search algorithm [49]. Some of the applications on which cuckoo search algorithm is applied are engineering design problems such as welded beam design, spring design optimization [50], milling optimization problem [51], cantilever beam design, corrugated bulkhead design, tubular column design, parameter identification of structures, structural optimization [52], satellite image contrast and brightness enhancement [53] two-channel filter bank design [54], optimization of PCB track length, robotics manipulator [48] and fractional order differentiator design [49].…”
Section: Introductionmentioning
confidence: 99%
“…Kumar and Rawat designed an FIR fractional order differentiator using cuckoo search algorithm [49]. Some of the applications on which cuckoo search algorithm is applied are engineering design problems such as welded beam design, spring design optimization [50], milling optimization problem [51], cantilever beam design, corrugated bulkhead design, tubular column design, parameter identification of structures, structural optimization [52], satellite image contrast and brightness enhancement [53] two-channel filter bank design [54], optimization of PCB track length, robotics manipulator [48] and fractional order differentiator design [49].…”
Section: Introductionmentioning
confidence: 99%
“…For more discussion on optimization-based FD filter design problem, we cite previous studies. [50][51][52][53] This means that we do not have to fine tune these parameters for a specific problem. 49 Some of the unique features of the CSA that makes it popular for optimization problems are as follows: (1) The number of parameters required in the CSA is less than other nature-inspired optimization techniques, and thus, it could be implemented on a wider range of optimization problems.…”
Section: Introductionmentioning
confidence: 99%
“…Some of the applications on which the CSA is applied are engineering design problems such as welded beam design, spring design optimization, 50 milling optimization problem, 51 cantilever beam design, corrugated bulkhead design, tubular column design, parameter identification of structures, structural optimization, 52 optimization of PCB track length, fractional order differentiator design, 53 and IIR FD filter design. Some of the applications on which the CSA is applied are engineering design problems such as welded beam design, spring design optimization, 50 milling optimization problem, 51 cantilever beam design, corrugated bulkhead design, tubular column design, parameter identification of structures, structural optimization, 52 optimization of PCB track length, fractional order differentiator design, 53 and IIR FD filter design.…”
Section: Introductionmentioning
confidence: 99%
“…( ) represents the probability of the host bird discovering egg/s in its nest. The host bird can either throw away the egg/s or abandon the nest to build a new one [13] [14].…”
Section: Cuckoo Search Optimization (Cso) Algorithmmentioning
confidence: 99%