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Solving Combinatorial Optimization Problems using Distributed Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 35 - Number 3 |
| Year of Publication: 2011 |
| Authors: Sunita Choudhary, G.N. Purohit |
10.5120/4380-6060
|
Sunita Choudhary, G.N. Purohit . Solving Combinatorial Optimization Problems using Distributed Approach. International Journal of Computer Applications. 35, 3 ( December 2011), 13-17. DOI=10.5120/4380-6060
Abstract
Combinatorial optimization is a way of finding an optimum solution from a finite set of objects. For combinatorial optimization problems, the number of possible solutions grows exponentially with the number of objects. These problems belong to the class of NP hard problems for which probably efficient algorithm does not exist. Using the distributed approach with parallelization these problems can be solved with a good bound. We show that how the concept of distributed algorithm can help in solving graph colouring problem i.e. one of the NP complete problem.
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