Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Genetic Operators

Handbook of Research on Artificial Intelligence Techniques and Algorithms
The mathematical formula applied as a step of genetic algorithm is known as operator. Selection, Crossover and Mutation operators are basic genetic operators. They are the mechanism to generate evolution from one generation to another generation. These operators are application specific. Crossover is of prime type of genetic operators and available in many types such as single point crossover, two point crossover and multipoint crossover. Machine learning methods and optimization methods are utilizing them in order to achieve automatic evolution for intelligent system design.
Published in Chapter:
An Intelligent Process Development Using Fusion of Genetic Algorithm with Fuzzy Logic
Kunjal Bharatkumar Mankad (Independent Researcher, India)
DOI: 10.4018/978-1-4666-7258-1.ch002
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.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
A Study of the Performance Effect of Genetic Operators
Selection, crossover, and mutation, for combining and refining solutions in a population.
Full Text Chapter Download: US $37.50 Add to Cart
Genetic Algorithm Applications to Optimization Modeling
Selection, crossover, and mutation, for combining and refining solutions in a population
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR