A novel genetic algorithmic approach for computing real roots of a nonlinear equation

dc.contributor.author	Nadimpalli, Vijaya Lakshmi V.
dc.contributor.author	Wankar, Rajeev
dc.contributor.author	Rao Chillarige, Raghavendra
dc.date.accessioned	2022-03-27T00:15:51Z
dc.date.available	2022-03-27T00:15:51Z
dc.date.issued	2014-01-01
dc.description.abstract	Novel Pre-processing and Post-processing methodologies are designed to enhance the performance of the classical Genetic Algorithms (GA) approach so as to obtain efficient interval estimates in finding the real roots of a given nonlinear equation. The Pre-processing methodology suggests a mechanism that adaptively fixes the parameter-‘length of chromosome’ in GA. The proposed methodologies have been implemented and demonstrated through a set of benchmark functions to illustrate the effectiveness.
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). v.8602
dc.identifier.issn	03029743
dc.identifier.uri	10.1007/978-3-662-45523-4_47
dc.identifier.uri	http://link.springer.com/10.1007/978-3-662-45523-4_47
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/3000
dc.subject	Genetic algorithms
dc.subject	Interval based method
dc.subject	Interval estimates
dc.subject	Tuning GA parameters
dc.title	A novel genetic algorithmic approach for computing real roots of a nonlinear equation
dc.type	Book Series. Conference Paper
dspace.entity.type

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