An Intelligent Process Development Using Fusion of Genetic Algorithm with Fuzzy Logic

Author:

Mankad Kunjal Bharatkumar1

Affiliation:

1. Independent Researcher, India

Abstract

Intelligent System (IS) can be defined as the system that incorporates intelligence into applications being handled by machines. The chapter extensively discusses the role of Genetic Algorithm (GA) in the search and optimization process along with discussing applications developed so far. A very detailed discussion on the Fuzzy Rule-Based System is presented along with major applications developed in different domains. The chapter presents algorithm of implementing intelligent procedure to decide whether a patient is prone to heart disease or not. The procedure evolves solutions using genetic operators and provides its decision automatically. The chapter presents discussion on the results achieved as a result of prototypical implementation of the evolutionary fuzzy hybrid model. The significant advantage of the presented research work is that applications that do not have any mathematical formulation and still demand optimization can be easily solved using the designed approach.

Publisher

IGI Global

Reference35 articles.

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3. Genetic Algorithm – An Approach to Solve Global Optimization Problems.;P.Bajpai;Indian Journal of Computer Science and Engineering,2010

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