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.
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Ghosh, A., Mal, P., Majumdar, A., Banerjee, D. (2015). Multi-objective Optimization of Knitted Fabric Comfort and Ultraviolet Radiation Protection by Evolutionary Algorithm. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 335. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2217-0_26
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DOI: https://doi.org/10.1007/978-81-322-2217-0_26
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