2014
DOI: 10.1007/s00170-014-6309-2
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Cuckoo optimization algorithm for unit production cost in multi-pass turning operations

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Cited by 38 publications
(43 citation statements)
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“…accurately replicates Table 6 in [1], which shows the cutting parameters concerning with both COA and HPSO in case the weighted tool life to compute both tool replacement cost (C R ) and tool cost (C T ) is T p = θT r + (1 − θ)T s . Constraint (24) according to [1] consists of:…”
Section: Tool Life Computation and Constraints Verificationmentioning
confidence: 57%
See 3 more Smart Citations
“…accurately replicates Table 6 in [1], which shows the cutting parameters concerning with both COA and HPSO in case the weighted tool life to compute both tool replacement cost (C R ) and tool cost (C T ) is T p = θT r + (1 − θ)T s . Constraint (24) according to [1] consists of:…”
Section: Tool Life Computation and Constraints Verificationmentioning
confidence: 57%
“…
Tool life computation and constraints verification Table 1 accurately replicates Table 6 in [1], which shows the cutting parameters concerning with both COA and HPSO in case the weighted tool life to compute both tool replacement cost (C R ) and tool cost (C T ) is T p = θT r + (1 − θ)T s . Constraint (24) according to [1] consists of:

Where T L =25 (min), T U = 45 (min) and T s is as follows: Table 2 replicates Table 8 in [2], which refers to the same scenario problem with T p = θT r + (1 − θ)T s .

As the reader can notice, the optimal cutting parameters used by [1] in Table 1 for evaluating HPSO are incorrect.

…”
mentioning
confidence: 88%
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“…Chauhan et al [12] proposed the use of totally disturbed PSO (TDPSO) for obtaining optimal turning conditions during multi-pass turning operations subject to various constraints. Mellal and Wiliams [13] applied cuckoo search algorithm (CSA) for minimization of the unit production cost of multi-pass turning operations. Optimization of depth of cut in multi-pass turning using metaheuristic algorithms such as GA, SA and ACO was performed by Satishkumar et al [14].…”
Section: Introductionmentioning
confidence: 99%