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Abstract
A genetic algorithm comprising the steps of: a) select initial population: population size 200/500; select scaling function and selection function; b) type of mutation: gaussian uniform c) fitness function; type of crossover number of Generations. The invention is using a population size of 200/ 250/ 500. The invention has a mutation function of Gaussian.
Information
| Application ID | 202211026874 |
| 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 | Department of Applied Sciences and Humanities, FET, Jamia Millia Islamia, New Delhi, INDIA | India | India |
| Musheer Ahmad | Department of Applied Sciences and Humanities, FET, Jamia Millia Islamia, New Delhi, INDIA | India | India |
Specification
Documents
| Name | Date |
| 202211026874-FORM-9 [10-05-2022(online)].pdf | 2022-05-10 |
| 202211026874-FORM 1 [10-05-2022(online)].pdf | 2022-05-10 |
| 202211026874-POWER OF AUTHORITY [10-05-2022(online)].pdf | 2022-05-10 |
| 202211026874-DRAWINGS [10-05-2022(online)].pdf | 2022-05-10 |
| 202211026874-COMPLETE SPECIFICATION [10-05-2022(online)].pdf | 2022-05-10 |
Orders
| Applicant | Section | Controller | Decision Date | URL |