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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Multi-objective Optimization of Knitted Fabric Comfort and Ultraviolet Radiation Protection by Evolutionary Algorithm
verfasst von : Anindya Ghosh, Prithwiraj Mal, Abhijit Majumdar, Debamalya Banerjee
Erschienen in: Proceedings of Fourth International Conference on Soft Computing for Problem Solving
Verlag: Springer India
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Abstract
The present work does a simultaneous maximization of air permeability and ultraviolet radiation protection of single jersey cotton knitted fabrics. As these two objectives are conflicting in nature, i.e., not a single combination of knitting parameters does exist which produce concurrent maximum air permeability as well as maximum ultraviolet radiation protection. Therefore, it has several optimal solutions from which a trade-off is needed depending upon the requirement of user. In this work, the optimal solutions are obtained with an elitist multi-objective evolutionary algorithm based on Non-dominated Sorting Genetic Algorithm II (NSGA-II). These optimum solutions may lead to the efficient exploitation of knitting parameters to produce fabrics with optimum protection from ultraviolet radiation and comfort.