Conference Papers
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506
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Item Parameter optimization for GARCH Model using hybrid PSO-GA(Institute of Electrical and Electronics Engineers Inc., 2022) Lalitha, R.; Mohan, B.R.Building Garch Models using classical numerical methods has been a difficult task, and many approaches to solve this problem has been proposed in the recent past which includes meta heuristic and evolutionary algorithms as well. In addition, the Fluctuations found in stock market follow volatility clustering. This clustering feature has made forecasting difficult. In this paper we plan to estimate the parameters of GARCH Model using PSO-GA approach, and also consider the effects caused by the positive shocks and negative shocks using GJR-Garch. We also propose a comparison between hybrid PSO(Particle Swarm Optimization) and GA(Genetic Algorithm) for parameter optimization in GARCH Model, which will be compared with the existing systems. © 2022 IEEE.Item Hybrid Genetic Algorithm and Machine Learning Approach for Software Reliability Assessment in Safety-Critical Systems(Institute of Electrical and Electronics Engineers Inc., 2024) Goyal, G.; Sharma, K.; Anshuman; Mittal, V.; Singla, B.; Das, M.; Mohan, B.R.Software reliability is a paramount determinant of software quality. In this research paper, we delve into utilizing Genetic Algorithms (GAs) for feature selection and classification. We undertake a comprehensive evaluation and comparative analysis of Machine Learning models, specifically Random Forest and Logistic Regression, both with and without Genetic Algorithmdriven feature selection. Our findings substantiate the significant impact of Genetic Algorithms in improving the accuracy of software reliability analysis. © 2024 IEEE.