A comprehensive survey: Applications of multi-objective particle swarm optimization (MOPSO) algorithm S Lalwani, S Singhal, R Kumar, N Gupta Transactions on combinatorics 2 (1), 39-101, 2013 | 148 | 2013 |
Linear fractional transportation problem with varying demand and supply VD Joshi, N Gupta Le matematiche 66 (2), 3-12, 2011 | 29 | 2011 |
A review on particle swarm optimization variants and their applications to multiple sequence alignment S Lalwani, R Kumar, N Gupta Journal of Applied Mathematics and Bioinformatics 3 (2), 87, 2013 | 25 | 2013 |
A novel two-level particle swarm optimization approach for efficient multiple sequence alignment S Lalwani, R Kumar, N Gupta Memetic Computing 7, 119-133, 2015 | 20 | 2015 |
A study on inertia weight schemes with modified particle swarm optimization algorithm for multiple sequence alignment S Lalwani, R Kumar, N Gupta 2013 Sixth International Conference on Contemporary Computing (IC3), 283-288, 2013 | 17 | 2013 |
An efficient two-level swarm intelligence approach for RNA secondary structure prediction with bi-objective minimum free energy scores S Lalwani, R Kumar, N Gupta Swarm and Evolutionary Computation 27, 68-79, 2016 | 16 | 2016 |
Tuberculosis in human immunodeficiency virus seropositives in Rajasthan PR Gupta, SK Luhadia, N Gupta, V Joshi Lung India 16 (4), 147-149, 1998 | 16 | 1998 |
On a paradox in linear plus linear fractional transportation problem VD Joshi, N Gupta Matematika, 167-178, 2010 | 15 | 2010 |
Sequence–structure alignment techniques for RNA: a comprehensive survey S Lalwani, R Kumar, N Gupta Adv Life Sci 4 (1), 21-35, 2014 | 11 | 2014 |
A higher than first order algorithm for non-smooth constrained optimization (nonlinear programming, penalty approach, lipschitz junction) N Gupta Washington State University, 1985 | 11 | 1985 |
Efficient Two-Level Swarm Intelligence Approach for Multiple Sequence Alignment. S Lalwani, R Kumar, N Gupta Computing & Informatics 35 (4), 2016 | 10 | 2016 |
Primal-dual approach to solve linear fractional programming problem VD Joshi, E Singh, N Gupta Journal of the applied mathematics, statistics and informatics 4 (1), 61-69, 2008 | 10 | 2008 |
A novel two-level particle swarm optimization approach to train the transformational grammar based hidden Markov models for performing structural alignment of pseudoknotted RNA S Lalwani, R Kumar, N Gupta Swarm and Evolutionary Computation 20, 58-73, 2015 | 9 | 2015 |
A heuristic for obtaining a better initial solution for the linear fractional transportation problem VD Joshi, N Gupta Bulletin of Australian Society of Operations Research 28 (4), 45-49, 2009 | 9 | 2009 |
Identifying more-for-less paradox in the linear fractional transportation problem using objective matrix VD Joshi, N Gupta Matematika, 173-180, 2012 | 7 | 2012 |
The combination of bisection method and artificial bee colony algorithm for solving hard fix point problems P Mansouri, B Asady, N Gupta Soft Computing Models in Industrial and Environmental Applications: 7th …, 2013 | 3 | 2013 |
Mental health in relation to internet addiction among Indian University Students N Srivastava, N Gupta, P Surana Vidyabharti International Interdisciplinary Research Journal (VIIRJ) 13 (1 …, 2021 | 2 | 2021 |
Styrket arbejdsevne for medarbejdere i industrien (SAMI): Beskrivelse af effekter, implementering og videreføring CD Jacobsen, LN Henriksen, N Gupta, JS Simonsen, A Holtermann Det Nationale Forskningscenter for Arbejdsmiljø, 2016 | 1 | 2016 |
An Application of the ABS LX Algorithm to Multiple Sequence Alignment S Lalwani, R Kumar, E Spedicato, N Gupta Iranian Journal of Operations Research 3 (1), 31-45, 2012 | 1 | 2012 |
New approach for obtaining a better initial solution for the linear fractional transportation problem VD Joshi, N Gupta International Journal: Mathematical Manuscripts (IJMM) 4, 17-26, 2011 | 1 | 2011 |