Genetic Algorithms As a Tool to Solving Research

Abstract

The complexity involved in analyzing and making sensible and useful predictions from huge amounts of data that have been collected, is a major impediment to progress in various streams of research in modem marketing management. For estimations of complex intrinsically nonlinear models, the restrictions placed by traditional modeling and optimization techniques affect the quality of the parameter estimates. Research, often in these scenarios, have resorted to data analysis and prediction formulated as search problems.