2006
DOI: 10.1631/jzus.2006.a1989
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Identification of strategy parameters for particle swarm optimizer through Taguchi method

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Cited by 21 publications
(11 citation statements)
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“…ANOVA is particularly beneficial in analysing data from the statistically designed experiments and can disintegrate variations for any types of data and helps in rapidly calculating the magnitude of influence of the cause being considered (Khosla et al 2006). Analysis of data was performed by Design-Expert (release 7-1-6) software and ANOVA table of the means for responses was shown in Table 1.…”
Section: Resultsmentioning
confidence: 99%
“…ANOVA is particularly beneficial in analysing data from the statistically designed experiments and can disintegrate variations for any types of data and helps in rapidly calculating the magnitude of influence of the cause being considered (Khosla et al 2006). Analysis of data was performed by Design-Expert (release 7-1-6) software and ANOVA table of the means for responses was shown in Table 1.…”
Section: Resultsmentioning
confidence: 99%
“…These parameters should be automatically selected using an effective method in the future. Khosla et al [52] presented a systematic method based on the Taguchi approach reasoning scheme for identifying the strategy parameters for the evolutionary algorithm. The Taguchi approach provides systematic, simple, and efficient methodology using fractional factorial design to study a large number of parameters with only a few well-defined experimental sets.…”
Section: Discussionmentioning
confidence: 99%
“…OA, which determines the optimum level for each factor and establishes the relative significance of the individual factors in terms of their main effects on the response is a matrix of numbers arranged in rows and columns. S/N ratio (h) expressed in decibels (dB) is indicative of quality and the purpose of the Taguchi experiment is to find the best level for each operating parameter so as to maximize (or minimize) S/N ratio [12,15,[20][21]. The Taguchi method, depending on the objective, proposed three categories of quality characteristics in the analysis of S/N ratio, which are nominal-the-better, larger-the-better and smaller-the-better.…”
Section: Fundamentals Of Taguchi Methodsmentioning
confidence: 99%