MARC details
000 -LEADER |
fixed length control field |
02518cam a2200301 a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
EG-GiCUC |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
200216s2019 ua dh 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 |
Cai01.18.02.M.Sc.2019.Ah.P |
100 0# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Ahmed Sabry Abdelrahman Mohamed |
245 12 - TITLE STATEMENT |
Title |
A proposed swarm intelligent approach for timetable problem / |
Statement of responsibility, etc. |
Ahmed sabry Abdelrahman Mohamed ; Supervised Hesham Ahmed Hefny |
246 15 - VARYING FORM OF TITLE |
Title proper/short title |
أسلوب ذكاء حشود مقترح لحل مشكلة الجداول الزمنية |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Cairo : |
Name of publisher, distributor, etc. |
Ahmed sabry Abdelrahman Mohamed , |
Date of publication, distribution, etc. |
2019 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
125 Leaves : |
Other physical details |
charts , facsimiles ; |
Dimensions |
30cm |
502 ## - DISSERTATION NOTE |
Dissertation note |
Thesis (M.Sc.) - Cairo University - Faculty of Graduate Studies for Statistical Research - Department of Computer and Information Sciences |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Time table problem is a constraint based decision making problem that attracted many researchers over many years due to its importance in several daily life situations. Educational timetable problem is an example of timetable problem. That is quite urgent for any educational institute.Several approaches for solving such a problem appeared over the last four decades however, finding an acceptable solution for such a problem is quite challenging as its computational complexity grow up fast as the number of its parameters increases. Recently, swarm intelligence (SI) techniques have been found to be very effective to solve such highly computational cost problem. SI solving techniques simulate the behaviors of organisms that live in colonies or swarms, e.g. ants, bees, birds,fishes, bats...etc. As the collective behavior of the whole swarm reflects a very effective intelligent behavior. In this thesis, we propose an approach for solving the timetable problem based on a swarm intelligent behavior that found in nature which is called 2vortex behavior3. Vortex behavior is inspired from the P.vortexbacteria that search for food in circular motion. We adopt a (SI) technique called 2vortex swarm optimization3 (VSO) to solve the timetable problem. The proposed VSO solving approach is tested using some unconstraint benchmark problems |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
Additional physical form available note |
Issued also as CD |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Swarm intelligence (SI) |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Timetable problem |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Vortex swarm optimization (VSO) |
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Hesham Ahmed Hefny , |
Relator term |
|
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
Cataloger |
Nazla |
Reviser |
Revisor |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
Cataloger |
Shimaa |
Reviser |
Cataloger |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Thesis |