Genetic Algorithm


Updated about 1 year ago

Abstract

The Genetic algorithm comprises the steps of : a) Generate initial population b) Evaluate the fitness value of each chromosome from the current population; c) Apply crossover and mutation to generate new population; d) Apply crossover and mutation to generate new population; e) Evaluate fitness of new generation; f) Repeat the process until a termination criterion is met. The genetic algorithm has an optimal value obtained is 0.000585, which is better than the 0.0022336 obtained. The algorithm helped in improving the result by reducing the error by 0.0016486. The proposed method gave an optimal value of 0.000105, and hence, the proposed algorithm helped in improving the result by 10-1

Information

Application ID 202211026916
Invention Field COMPUTER SCIENCE
Date of Application 2022-05-10
Publication Number 19/2022

Applicants

Name Address Country Nationality
Apeejay Stya University Apeejay Stya University, Sohna - Palwal Road, Sohna - 122103, Gurugram, Haryana India India

Inventors

Name Address Country Nationality
Moin Uddin Professor Emeritus and Chief Mentor Research, Department of Computer Science and Engineering, School of Engineering and Technology, Apeejay Stya University, Gurugram, Haryana, INDIA India India
Chhavi Mangla Research Scholar, Department of Applied Sciences and Humanities, Jamia Millia Islamia, New Delhi India India
Musheer Ahmad Professor, Department of Computer Science and Engineering, School of Engineering Sciences & Technology, Jamia Hamdard, New Delhi India India

Specification

Documents

Name Date
202211026916-POWER OF AUTHORITY [10-05-2022(online)].pdf 2022-05-10
202211026916-FORM-9 [10-05-2022(online)].pdf 2022-05-10
202211026916-FORM 1 [10-05-2022(online)].pdf 2022-05-10
202211026916-DRAWINGS [10-05-2022(online)].pdf 2022-05-10
202211026916-COMPLETE SPECIFICATION [10-05-2022(online)].pdf 2022-05-10

Orders

Applicant Section Controller Decision Date URL