A Novel Genetic Algorithmic Approach for Computing Real Roots of a Nonlinear Equation

Autor:	Rajeev Wankar, Vijaya Lakshmi V. Nadimpalli, Raghavendra Rao Chillarige
Rok vydání:	2014
Předmět:	Set (abstract data type) Nonlinear system Mathematical optimization Real roots Chromosome (genetic algorithm) Computer science Benchmark (computing) Interval (mathematics)
Zdroj:	Applications of Evolutionary Computation ISBN: 9783662455227 EvoApplications
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::75701c4be671ef6f0117d02a667c3e91 https://doi.org/10.1007/978-3-662-45523-4_47 Zobrazit plný text záznamu