Research Article

Article:Decision Support System for Cotton Bales Blending Using Genetic Algorithm

by  Prof. Riyaz A. Sheikh, Dr. Ujwal A. Lanjewar
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 8 - Issue 1
Published: October 2010
Authors: Prof. Riyaz A. Sheikh, Dr. Ujwal A. Lanjewar
10.5120/1177-1608
PDF

Prof. Riyaz A. Sheikh, Dr. Ujwal A. Lanjewar . Article:Decision Support System for Cotton Bales Blending Using Genetic Algorithm. International Journal of Computer Applications. 8, 1 (October 2010), 28-34. DOI=10.5120/1177-1608

                        @article{ 10.5120/1177-1608,
                        author  = { Prof. Riyaz A. Sheikh,Dr. Ujwal A. Lanjewar },
                        title   = { Article:Decision Support System for Cotton Bales Blending Using Genetic Algorithm },
                        journal = { International Journal of Computer Applications },
                        year    = { 2010 },
                        volume  = { 8 },
                        number  = { 1 },
                        pages   = { 28-34 },
                        doi     = { 10.5120/1177-1608 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2010
                        %A Prof. Riyaz A. Sheikh
                        %A Dr. Ujwal A. Lanjewar
                        %T Article:Decision Support System for Cotton Bales Blending Using Genetic Algorithm%T 
                        %J International Journal of Computer Applications
                        %V 8
                        %N 1
                        %P 28-34
                        %R 10.5120/1177-1608
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Traditionally the commercial value of cotton is accessed on the basis of subjective grading. The grade of cotton is decided on the basis of color, trash and ginning preparation, staple length and strength. Characteristics like length variation, fineness and maturity are also taken into account.[14] It is necessary for the cotton spinning mills to produce good quality yarn and that too at a competitive price. The cost and quality of yarn is greatly dependent on the cost and quality of cotton. So, wise selection of cotton and control on the cost at different stages of spinning, weaving, processing and marketing is very essential. It is a common practice in textile mills to mix cottons of different varieties. Hence, it is imperative to select the right cottons for the same, since it is one of the major factors affecting the total yarn cost as well as the final yarn quality.

References
  • Ariel Dolan, GA Playground Documentation, www.aridolan.com/ga/gaa/gaa.html, 9th December 2006 Wikipedia - The Free Encyclopedia, Entry for Genetic Algorithm,
  • Bundy, Alan (Ed.), Artificial Intelligence Techniques; A Comprehensive Catalogue. Springer Publishing, Section 104.
  • Darell Whitley, “A Genetic Algorithm tutorial”
  • Deb K, Anand A. & Joshi D. (2002), A computationally Efficient Evolutionary Algorithm for Real Parameter Optimization, KanGAL report: 2002003
  • Deb K, Mohan M. & Mishra S. (2003), A Fast Multi-objective Evolutionary Algorithm for Finding Well-Spread Pareto-Optimal Solutions. KanGAL Report No. 2003002
  • Deb K. (2002), Multi-objective Optimization using Evolutionary Algorithms. John Willy And Sons Ltd
  • Deb K. (2003), A Population-Based Algorithm-Generator for Real-Parameter Optimization. KanGAL Report No. 2003003
  • Deb K. (2004), Single and Multi-Objective Optimization Using Evolutionary Algorithms. KanGAL Report No. 2004002
  • DeSantics, G. and Gullupe, B., Group Decision Support Systems: A new frontier, Database , Winter, 1985.
  • Dr N.R. Bandyopadhyay, Dr P.P. Chattopadhyay , Dr Shubhabrata Datta, “International Workshop On Neural Network And Genetic Algorithm In Material Science And Engineering”, Tata Mcgraw-Hill
  • en.wikipedia.org/wiki/Genetic-algorithm, March 2006. Wikipedia - The Free Encyclopedia, Entry for Crossover Strategies, en.wikipedia.org/wiki/Crossover-genetic-algorithm, March 2006.
  • Falkenauer, Emanuel. 1997. Genetic Algorithms and Grouping Problems. John Wiley
  • Goldberg D, “Genetic Algorithms in Search, Optimization and Machine Learning Reading”, MA Addison Wesley
  • http://www.cottonnetwork.org/report-2/research-india.htm
  • NASA Website, Exploring the Universe -Evolvable Systems, http://www.nasa.gov/centers/ames/research/exploringtheuniverse/exploringtheuniverseevolvablesystems. html
  • R. Panneerselvam, Operation Research, Prentice Hall Publication, New Delhi
  • Randy L. Haupt, Sue Ellen Haupt , “Practical Genetic Algorithms” John wiley & Sons
  • Srinivas N. & Deb K. (1994), Multi-objective optimization using non-dominated sorting in genetic algorithms. Evolutionary Computation, 2(3), 221-248
  • Turban, E., Decision support and Expert Systems: Management Support Systems , Macmillan, New York, 1990.
  • V.K. Kapoor, Operation Research-Tools and techniques, S.Chand Publication, New Delhi
  • V.S. Janakiraman and K. Sarukesi, Decision Support systems
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Algorithm Genetic Algorithm optimization population mutation crossover Decision Support system

Powered by PhDFocusTM