International Journal of Scientific and Research Publications

IJSRP, Volume 2, Issue 8, August 2012 Edition [ISSN 2250-3153]


Optimization of Natural Gas Pipeline Design and Its Total Cost Using GA
      Ram Ratan Singh, P K S Nain
Abstract: We has presented a methodology for the application of genetic algorithm technique to pipeline network optimization. The GA codes the pipe sizes available for selection as binary strings. We have used a simple three-operator genetic algorithm namely reproduction, crossover, and mutation. Results represented to show that the genetic algorithm techniques are very effective in finding near-optimal or optimal solutions for a case study network in relatively few evaluations. The GA technique generates a whole class of alternatives solutions close to optimum. One of these alternative solutions may actually be preferred to the optimum solution based on non quantifiable measures. This is a major benefit of genetic algorithm method. The genetic algorithms technique is infancy, and further development should provide improvements in these search method for practical problem.

Reference this Research Paper (copy & paste below code):

Ram Ratan Singh, P K S Nain (2018); Optimization of Natural Gas Pipeline Design and Its Total Cost Using GA; Int J Sci Res Publ 2(8) (ISSN: 2250-3153). http://www.ijsrp.org/research-paper-0812.php?rp=P07108
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