G
G. S. Mahapatra
Researcher at National Institute of Technology, Puducherry
Publications - 106
Citations - 1618
G. S. Mahapatra is an academic researcher from National Institute of Technology, Puducherry. The author has contributed to research in topics: Fuzzy logic & Computer science. The author has an hindex of 20, co-authored 82 publications receiving 1228 citations. Previous affiliations of G. S. Mahapatra include Siliguri Institute of Technology & Indian Institute of Engineering Science and Technology, Shibpur.
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Effect of inspection and rework of probabilistic defective production on two-layer supply chain incorporating deterioration and reliability dependent demand
Sudip Adak,G. S. Mahapatra +1 more
TL;DR: In this article, a two-layer supply chain for defective and non-defective types of items produced by manufacturer and retailer is developed, where the damaged items are identified subsequent of the conducted full screening process and reworked by the retailer.
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Parameter uncertainty in biomathematical model described by one-prey two-predator system with mutualism
TL;DR: A three-species system consisting of two predators which are in mutualism with each other and preying on the same single prey is considered and the optimal harvesting policy is studied using Pontryagin’s maximum principle.
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Effects of fuzzy harvesting on logistic growth models for uncertain ecological parameter
TL;DR: In this paper, the effects of two well known harvesting models namely quota harvesting and proportional harvesting on the logistic growth model under fuzziness are presented. And the equilibrium points, bifurcation value and discussion of the stability of the equilibrium point of the models under fuzzy conditions with different persp...
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Dynamics of a Prey–Predator System with Herd Behaviour in Both and Strong Allee Effect in Prey
TL;DR: In this paper, the authors mainly dealt with the prey−predator dynamics where both the prey and predator exhibit herd behavior, and the biological implications of analytical and numerical findings are discussed separately for the purpose of maintaining ecological balance in nature.
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Entropy based enhanced particle swarm optimization on multi‐objective software reliability modelling for optimal testing resources allocation
Pooja Rani,G. S. Mahapatra +1 more
TL;DR: A multi‐objective software reliability model of testing resources for a new generalized exponential reliability function to characterizes dynamic allocation of total expected cost and testing effort and an enhanced particle swarm optimization (EPSO) is proposed to maximize software reliability and minimize allocation cost.