Author
G. S. Mahapatra
Other affiliations: Siliguri Institute of Technology, Indian Institute of Engineering Science and Technology, Shibpur, University of Calcutta
Bio: G. S. Mahapatra is an academic researcher from National Institute of Technology, Puducherry. The author has contributed to research in topics: Fuzzy logic & Fuzzy number. 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.
Papers published on a yearly basis
Papers
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TL;DR: This paper considers multi-objective reliability optimization problem for system reliability where reliability enhancement is involved with several mutually conflicting objectives and this imprecise reliability optimization model is solved through the fuzzy multi- objective optimization method.
133 citations
27 Feb 2009-World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering
TL;DR: To analyze the fuzzy system reliability, the reliability of each component of the system as a triangular intuitionistic fuzzy number is considered and their arithmetic operations are introduced.
Abstract: In general fuzzy sets are used to analyze the fuzzy system reliability. Here intuitionistic fuzzy set theory for analyzing the fuzzy system reliability has been used. To analyze the fuzzy system reliability, the reliability of each component of the system as a triangular intuitionistic fuzzy number is considered. Triangular intuitionistic fuzzy number and their arithmetic operations are introduced. Expressions for computing the fuzzy reliability of a series system and a parallel system following triangular intuitionistic fuzzy numbers have been described. Here an imprecise reliability model of an electric network model of dark room is taken. To compute the imprecise reliability of the above said system, reliability of each component of the systems is represented by triangular intuitionistic fuzzy numbers. Respective numerical example is presented. Keywords—Fuzzy set, Intuitionistic fuzzy number, System reliability, Triangular intuitionistic fuzzy number.
113 citations
TL;DR: In this paper, the authors considered a production inventory model for deteriorating items with ramp type demand rate under the effect of inflation and shortages under fuzziness, and optimized their solution by considering production time and production rate as decision variables in two separate cases.
73 citations
TL;DR: Numerical simulation is presented to provide important managerial insights and the integrated total cost with respect to production rate of manufacturer and the time when the item finished at retailer end is optimized.
63 citations
TL;DR: In this paper, an economic production model for deteriorating items with ramp type demand rate is presented, where a single item is produced and the finite rate of production is proportional to the demand rate.
54 citations
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Book•
30 Apr 1996TL;DR: Technical foundations introduction software reliability and system reliability the operational profile software reliability modelling survey model evaluation and recalibration techniques practices and experiences and best current practice of SRE software reliability measurement experience.
Abstract: Technical foundations introduction software reliability and system reliability the operational profile software reliability modelling survey model evaluation and recalibration techniques practices and experiences best current practice of SRE software reliability measurement experience measurement-based analysis of software reliability software fault and failure classification techniques trend analysis in validation and maintenance software reliability and field data analysis software reliability process assessment emerging techniques software reliability prediction metrics software reliability and testing fault-tolerant SRE software reliability using fault trees software reliability process simulation neural networks and software reliability. Appendices: software reliability tools software failure data set repository.
1,068 citations
Journal Article•
590 citations
TL;DR: A new population based algorithm, the Lion Optimization Algorithm (LOA), is introduced, special lifestyle of lions and their cooperation characteristics has been the basic motivation for development of this optimization algorithm.
458 citations
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TL;DR: A model represents a synthesis of knowledge and data and can consequently provide results particularly about system properties, and is a very useful tool in the effort to achieve the best possible such view.
421 citations
TL;DR: A review of swarm intelligence algorithms can be found in this paper, where the authors highlight the functions and strengths from 127 research literatures and briefly provide the description of their successful applications in optimization problems of engineering fields.
Abstract: Swarm intelligence algorithms are a subset of the artificial intelligence (AI) field, which is increasing popularity in resolving different optimization problems and has been widely utilized in various applications. In the past decades, numerous swarm intelligence algorithms have been developed, including ant colony optimization (ACO), particle swarm optimization (PSO), artificial fish swarm (AFS), bacterial foraging optimization (BFO), and artificial bee colony (ABC). This review tries to review the most representative swarm intelligence algorithms in chronological order by highlighting the functions and strengths from 127 research literatures. It provides an overview of the various swarm intelligence algorithms and their advanced developments, and briefly provides the description of their successful applications in optimization problems of engineering fields. Finally, opinions and perspectives on the trends and prospects in this relatively new research domain are represented to support future developments.
247 citations