Torrent details for "Mayer F. Genetic Algorithms and Engineering Design 2021" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
6.1 MB
Info Hash:
E5CC7A45490D4E850238882EF0C4621F24D9C248
Added By:
Added:
April 20, 2026, 2:17 p.m.
Stats:
|
(Last updated: April 20, 2026, 2:17 p.m.)
| File | Size |
|---|---|
| ['Mayer F. Genetic Algorithms and Engineering Design 2021.pdf'] | 0 bytes |
Name
DL
Uploader
Size
S/L
Added
-
139.1 MB
[0
/
0]
2023-10-25
| Uploaded by Skeo08623891 | Size 139.1 MB | Health [ 0 /0 ] | Added 2023-10-25 |
-
758.1 MB
[47
/
37]
2023-06-01
| Uploaded by rqj93067 | Size 758.1 MB | Health [ 47 /37 ] | Added 2023-06-01 |
-
249.4 MB
[10
/
1]
2023-06-02
| Uploaded by Carimetan | Size 249.4 MB | Health [ 10 /1 ] | Added 2023-06-02 |
-
850.3 MB
[0
/
7]
2023-10-27
| Uploaded by IGGGAMESCOM | Size 850.3 MB | Health [ 0 /7 ] | Added 2023-10-27 |
NOTE
SOURCE: Mayer F. Genetic Algorithms and Engineering Design 2021
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format A genetic algorithm (GA) is a search and optimization method which works by mimicking the evolutionary principles and chromosomal processing in natural genetics. Genetic algorithm is a multi-path algorithm that searches many peaks in parallel, hence reducing the possibility of local minimum trapping and solve the multi-objective optimization problems. The last few years have seen important advances in the use of genetic algorithms applied to a wide variety of engineering problems, because of their simplicity, global perspective, and inherent parallel processing. This book explains the basic technique of the genetic algorithm and shows how design engineers can use a genetic algorithm to solve real design engineering problems. The book focuses on explaining how genetic algorithms work. This book is intended to demonstrate Genetic Algorithms to locate robust design areas and provided a thorough discussion on robustness and diversity in depth
×