MARC details
| 000 -LEADER |
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| fixed length control field |
02268cam a2200313 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
EG-GiCUC |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
171203s2017 ua d f m 000 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
EG-GiCUC |
| Language of cataloging |
eng |
| Transcribing agency |
EG-GiCUC |
| 041 0# - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 049 ## - LOCAL HOLDINGS (OCLC) |
|---|
| Holding library |
Deposite |
| 097 ## - Thesis Degree |
|---|
| Thesis Level |
M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
|---|
| Classification number |
Cai01.13.13.M.Sc.2017.Ma.H |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mai Salah Eldin Abdelaziz Mohamed |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Hybrid particle swarm optimization and design of experiment / |
| Statement of responsibility, etc. |
Mai Salah Eldin Abdelaziz Mohamed ; Supervised Mohamed H. Gadallah , Sayed M. Metwalli |
| 246 15 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
طريقة أمثلية حشد الجزيئات المهجنة بإستخدام تصميم التجارب |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cairo : |
| Name of publisher, distributor, etc. |
Mai Salah Eldin Abdelaziz Mohamed , |
| Date of publication, distribution, etc. |
2017 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
114 P. : |
| Other physical details |
charts ; |
| Dimensions |
30cm |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Mechanical Design and Production |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
A hybrid Particle Swarm Optimization algorithm and design of experiment approach is developed and tested. The hybridization between the two methods has two different ways: The first one is a trial to make use of design of experiment to reach the optimum selection and combinations of particle swarm optimization's most significant factors (maximum inertia weight }max, minimum inertia weight }min, acceleration coefficients, C1 and C2) using 3 levels orthogonal arrays OAs. An L27OA is employed to study the four factors at three levels. The particle swarm optimization is then applied on a number of benchmark problems to find the optimum solution. The second method is using design of experiments on the problem variables prior to particle swarm optimization. According to the number of parameters of the problem, a suitable orthogonal array is used and number of levels for each parameter is assigned. The obtained feasible solutions are employed as an initial swarm for particle swarm optimization algorithm instead of using large randomly selected swarms |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
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| Additional physical form available note |
Issued also as CD |
| 653 #4 - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
Design of experiment |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Hybrid PSO |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Particle swarm optimization |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mohamed Hassan Gadallah , |
| Relator term |
|
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sayed Mohamed Metwalli , |
| Relator term |
|
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| Cataloger |
Nazla |
| Reviser |
Revisor |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| Cataloger |
Samia |
| Reviser |
Cataloger |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Thesis |
