The optimization process for complex nonlinear systems using a genetic algorithm comprises the steps of: a) creating an initial population: GA begins with a randomly chosen assortment of chromosomes, which serve as the initial population. b) Evaluate the fitness value of each chromosome: Each chromosome in the initial population is evaluated by the fitness function. c) Apply selection, crossover, and mutation operators to fitter individuals to generate a new population: Genetic operators are applied to fitter individuals from the population to maintain diversity in the population which consists of fitter individuals. d) Again, calculate fitness value: Fitness value is evaluated for testing the achievement of optimization. e) Repeat the process until termination criteria are met: the process continued until the optimization goal is achieved.
Application ID | 202211026875 |
Invention Field | COMPUTER SCIENCE |
Date of Application | 2022-05-10 |
Publication Number | 19/2022 |
Name | Address | Country | Nationality |
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Apeejay Stya University | Apeejay Stya University, Sohna - Palwal Road, Sohna - 122103, Gurugram, Haryana | India | India |
Name | Address | Country | Nationality |
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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 | Assistant Professor, Department of Mathematics, Government College for Girls, Gurugram, Haryana, India | India | India |
Musheer Ahmad | Department of Applied Sciences and Humanities, FET, Jamia Millia Islamia, New Delhi, INDIA | India | India |
Name | Date |
202211026875-POWER OF AUTHORITY [10-05-2022(online)].pdf | 2022-05-10 |
202211026875-FORM-9 [10-05-2022(online)].pdf | 2022-05-10 |
202211026875-FIGURE OF ABSTRACT [10-05-2022(online)].jpg | 2022-05-10 |
202211026875-FORM 1 [10-05-2022(online)].pdf | 2022-05-10 |
202211026875-DRAWINGS [10-05-2022(online)].pdf | 2022-05-10 |
202211026875-COMPLETE SPECIFICATION [10-05-2022(online)].pdf | 2022-05-10 |
Applicant | Section | Controller | Decision Date | URL |