Genetic algorithms: foundations and applications
Annals of Operations Research
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
An introduction to genetic algorithms
An introduction to genetic algorithms
Genetic algorithms for flowshop scheduling problems
Computers and Industrial Engineering
Multiobjective economic design of an X control chart
Computers and Industrial Engineering
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Computers and Operations Research
An alternative approach to fuzzy control charts: Direct fuzzy approach
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A hybrid fuzzy adaptive sampling - Run rules for Shewhart control charts
Information Sciences: an International Journal
Development of fuzzy process control charts and fuzzy unnatural pattern analyses
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
Fuzzy process capability analyses with fuzzy normal distribution
Expert Systems with Applications: An International Journal
Process capability analyses based on fuzzy measurements and fuzzy control charts
Expert Systems with Applications: An International Journal
Process capability analyses with fuzzy parameters
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Optimizing least-significant-bit substitution using cat swarm optimization strategy
Information Sciences: an International Journal
Fuzzy process capability indices with asymmetric tolerances
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data
Information Sciences: an International Journal
A dynamic programming approach to missing data estimation using neural networks
Information Sciences: an International Journal
Personlized English reading sequencing based on learning portfolio analysis
Information Sciences: an International Journal
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Determining the sample size for control charts (CCs) is generally an important problem in the literature. In this paper, Kaya and Engin's [I. Kaya, O. Engin, A new approach to define sample size at attributes control chart in multistage processes: an application in engine piston manufacturing process, Journal of Materials Processing Technology 183 (2007) 38-48] model based on minimum cost and maximum acceptance probability to determine the sample size for attribute control charts (ACCs), and solved by genetic algorithms (GAs) with linear binary representation structure, is handled to solve it by a linear real-valued representation. A new chromosome structure is also suggested to increase the efficiency of GAs. The performance of GAs depends on mutation and crossover operators, and their ratios. To determine the most appropriate operators, five different mutation and crossover operators are used and they are compared with each other. An application in a motor engine factory is illustrated. u-Control charts are constructed with respect to the sample size determined by GA in the model. The piston production stages in this factory are monitorized using the obtained control charts.