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Modified Genetic Algorithms Based Solution To Subset Sum Problem

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CONTRIBUTORS:
  Author Bhasin, Harsh (Delhi technological University)
JOURNAL:
  International Journal of Advanced Research In Artificial Intelligence, 1(1), 38 - 41.
YEAR: 2012
PUB TYPE: Journal Article
SUBJECT(S): Subset Sum problem, NP Hard Problems, Artificial intelligence, Genetic Algorithms
DISCIPLINE: Computer Science
HTTP: https://thesai.org/Downloads/IJARAI/Volume1No1/Paper7-Modified_Genetic_Algorithms_Based_Solution_To_Subset_Sum_Problem.pdf
LANGUAGE: English
PUB ID: 103-501-506 (Last edited on 2012/04/11 21:47:07 GMT-6)
SPONSOR(S):
 
ABSTRACT:
Subset Sum Problem (SSP) is an NP Complete problem which finds its application in diverse fields. The work suggests the solution of above problem with the help of genetic Algorithms (GAs). The work also takes into consideration, the various attempts that have been made to solve this problem and other such problems. The intent is to develop a generic methodology to solve all NP Complete problems via GAs thus exploring their ability to find out the optimal solution from amongst huge set of solutions. The work has been implemented and analyzed with satisfactory results
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