MARC details
| 000 -LEADER |
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| fixed length control field |
02498nam a22003733a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
UPMIN-00005905252 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
UPMIN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20230126104534.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221024b |||||||| |||| 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) |
LG 993.5 2010 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
C6 O27 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Obsioma, Janil Paras. |
| 9 (RLIN) |
1609 |
| 245 ## - TITLE STATEMENT |
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| Title |
Solving constrained optimization problems using particle swarm optimization - harmony search / |
| Statement of responsibility, etc. |
Janil Paras Obsioma |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Date of publication, distribution, etc. |
2010 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
84 leaves. |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (BS Computer Science) -- University of the Philippines Mindanao, 2010 |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Many real problems are often formulated as constrained optimization problems. There are several methods reported i literature that can solve many kinds of constrained optimization problems. Genetic algorithms and other Evolutionary algorithms have been used to solve these kinds of problems. Particle Swarm Optimization was one that has been an effective method reported in literature to solve optimization problems. With the advent of hybrid algorithms to create a new and more efficient algorithm, Genetic algorithms, Evolutionary algorithms, and other sorts of heuristics was embedded with metaheuristics to improve the pure algorithm itself. Hence, a meta-heuristic Harmony Search (HS) was introduced to the pure PSO to solve constrained optimization problems. With the hybrid, the study showed positive results compared to the pure PSO algorithm though it has quite a difference3 in terms of running time. It is well known that constrained function optimization involves multiple, nonlinear and non-trivial constraints due to real world limitations. But from a constrained optimization standpoint, running time is usually expected to be quite high but a better solution is always desired. With the hybrid it has found a better solution compared to the pure PSO regardless of the running time. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Constrained optimization. |
| 9 (RLIN) |
1610 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 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 |
Heuristics. |
| 9 (RLIN) |
1611 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Metaheuristics. |
| 9 (RLIN) |
1368 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Hybrid algorithms. |
| 9 (RLIN) |
1367 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Algorithms. |
| 9 (RLIN) |
1336 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Particle Swarm Optimization (PSO) |
| 9 (RLIN) |
1612 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Harmony search. |
| 9 (RLIN) |
1613 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Genetic algorithms. |
| 9 (RLIN) |
1379 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Evolutionary algorithms. |
| 9 (RLIN) |
1378 |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Harmony memory search. |
| 9 (RLIN) |
1614 |
| 658 ## - INDEX TERM--CURRICULUM OBJECTIVE |
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| 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 |
