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Rajeswari, R.
- Modular Multiplicative Divisor Labeling of some Path Related Graphs
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Authors
R. Revathi
1,
R. Rajeswari
1
Affiliations
1 Department of Mathematics, Sathyabama University, Chennai 600119, IN
1 Department of Mathematics, Sathyabama University, Chennai 600119, IN
Source
Indian Journal of Science and Technology, Vol 7, No 12 (2014), Pagination: 1967-1972Abstract
A graph G (V,E) with |V| = n is said to have modular multiplicative divisor labeling if there exist a bijection f: V(G) → {1, 2, …,} and the induced function f*: E(G) → {0, 1, 2, …, n - 1} where f(uv) = f(u)f(v) (mod n) such that n divides the sum of all edge labels of G. We prove that the path Pn , and the graph Pa, b (a graph which connects two vertices by means of "b" internally disjoint paths of length "a" each), shadow graph of a path and the cartesian product Pn × P1, (n is not a multiple of 6) admits modular multiplicative divisor labeling. Also we discuss the upper bound for the number of edges in a modular multiplicative divisor graphs. AMS Subject Classification: 05C78Keywords
Graph Labeling, Path, Graph Pa,b, Shadow Graph D2(G), the Cartesian Product Pn × P1- Comparative Analysis of Nature Inspired Algorithms Applied to Reactive Power Planning Studies
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Authors
Affiliations
1 Department of Electrical Engineering Sri Krishna College of Technology, Coimbatore, IN
2 Department of Electrical Engineering, Government College of Technology, Coimbatore, IN
3 Sri Krishna College of Technology, Coimbatore, IN
1 Department of Electrical Engineering Sri Krishna College of Technology, Coimbatore, IN
2 Department of Electrical Engineering, Government College of Technology, Coimbatore, IN
3 Sri Krishna College of Technology, Coimbatore, IN
Source
Indian Journal of Science and Technology, Vol 8, No 5 (2015), Pagination: 445-453Abstract
Reactive power optimization is one of the efficient ways of improving power system reliability and efficiency which is beneficial in power planning studies. ORPD problems are best solved using different algorithms to achieve optimization. This paper deals a comparative study of three algorithms PSO, GSA and hybrid PSOGSA algorithm. The ORPD multiobjective problem is tested over standard IEEE system. The test is performed under two conditions with and without penalty function added to the objective function. And all results obtained are summarized and best optimal solution is obtained from the hybrid PSOGSA algorithm.Keywords
ORPD (Optimal Reactive Power Dispatch) Problem, GSA (Gravitational Search algorithm), PSO (Particle swarm Optimization), Hybrid PSOGSA.- Labeling on Line Digraphs
Abstract Views :164 |
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Authors
Affiliations
1 Sathyabama University, Chennai – 600119, Tamil Nadu, IN
1 Sathyabama University, Chennai – 600119, Tamil Nadu, IN