MARC details
| 000 -LEADER |
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| fixed length control field |
01549nam a22002773a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
UPMIN-00004218153 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
UPMIN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20230117165955.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221017b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
DLC |
| Transcribing agency |
UPMin |
| Modifying agency |
upmin |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
eng |
| 090 #0 - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
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| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
LG993.5 2009 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
C6 J66 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Jopson, Maria Andrea Aizza Galon. |
| 9 (RLIN) |
1397 |
| 245 ## - TITLE STATEMENT |
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| Title |
Particles swarm optimization-simulated annealing (PSO-SA) with mass extinction applied to nonlinear optimization problems / |
| Statement of responsibility, etc. |
Maria Andrea Aizza Galon Jopson. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Date of publication, distribution, etc. |
2009 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
83 leaves. |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (BS Computer Science) -- University of the Philippines Mindanao, 2009 |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Particle Swarm Optimization ? Simulated Annealing (PSO-SA) with Mass Extinction is an extension of Xie's et.al.?s (2002), which searches for a hybrid technique that will get an optimal solution in numerical problems in evolutionary optimization research. PSO-SA with Mass Extinction is a combination of heuristic, meta-heuristic and evolutionary algorithms that aims to solve underlying problems in solving underlying problems in solving evolutionary problems. This hybrid algorithm will be tested three benchmark evolutionary functions namely; Rosenbrock function, Rastrigin function and Griewank function. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Optimization. |
| 9 (RLIN) |
733 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Particle Swarm Optimization-Simulated Annealing (PSO-SA) |
| 9 (RLIN) |
1398 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Simulated annealing. |
| 9 (RLIN) |
1370 |
| 658 ## - INDEX TERM--CURRICULUM OBJECTIVE |
|---|
| Main curriculum objective |
Undergraduate Thesis |
| Curriculum code |
CMSC200, |
| Source of term or code |
BSCS |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| a |
Fi |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| a |
UP |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |
