000			01330naa a2200217 4500
008			161007b xxu||||| |||| 00| 0 eng d
100			_aKumar, M Karun
245			_aA new algorithm to compute pareto-optimal paths in a multi objective fuzzy weighted network
260			_a _b _c
300			_a50 (3) Jul-Sept 2013, 297-318p.
520			_aThis paper presents a new algorithm to find the shortest path (Pareto optimal) for both single and multiple objective network optimization problem involving fuzziness in objectives or QoS (Quality of Service) parameters. Each fuzzy objective or QoS parameter on the link of a network is represented as a fuzzy number. This algorithm can compute all the Pareto Optimal paths from a selected source node to all other nodes in a network and is applicable for both cyclic and acyclic networks. Computational complexity of the algorithm is presented and compared with other algorithms. The algorithm is illustrated with single and bi-objective fuzzy network optimization problems.
650			_aNetwork Optimization
650			_aShortest Path
650			_aMultiple Objectives
650			_aQuality of Service
650			_aPareto minimum
650			_aFuzzy Number
700			_aSastry, V N.
773	0		_090538 _d _oB- 2510 _tBV- Opsearch (Jul - Dec 2013)
942			_2ddc _c8
999			_c90580 _d90580