MARC details
| 000 -LEADER |
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| fixed length control field |
02226nam a22003253a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
UPMIN-00005017249 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
UPMIN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20221116141424.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221116b |||||||| |||| 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 2010 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
C6 Y88 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Yutiamco, Crystal Dianne C. |
| 245 ## - TITLE STATEMENT |
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| Title |
Particle swarm optimization - tabu search (PSO-TS) with mass extinction applied to nonlinear optimization problems / |
| Statement of responsibility, etc. |
Crystal Dianne C. Yutiamco |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Date of publication, distribution, etc. |
2010 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
101 leaves |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (BS Computer Science) -- University of the Philippines Mindanao, 2010 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
This study serves an attempt to improve the solutions acquired by the hybrid PSO with Mass Extinction by incorporating another metaheuristic called tabu search. This study also serves as an additional contribution to several scientific fields and may lead to another research in the future. PSO-TS with Mass Extinction is an algorithm which aims to get an optimal solution for the Rosenbrock, Rastigin and Griewank function. The parameter setting s were divided to three groups according to the particle dimensions for all the benchmark problems and the average solution quality, average solution time, best solution quality and best solution time were determined for each problem. The results for PSO-TS with Mass Extinction were also compared with those of PSO with Mass Extinction using charts and tables. For most cases, PSO-TS with Mass Extinction outperforms PSO with Mass Extinction in terms of the average solution quality and best solution quality. However, it took a longer time for PSO-TS with Mass Extinction to achieve a solution as compared to PSO with Mass Extinction since PSO-TS with Mass Extinction required additional processes for the Tabu Search Algorithm |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Rosenbrock function |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Rastrigin function |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Griewank function |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Particle swarm optimization (PSO) |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Tabu search |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Mass extinction |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Particle swarm optimization=tabu search with mass extinction |
| 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) |
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| a |
Fi |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
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| a |
UP |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Thesis |
