MARC details
| 000 -LEADER |
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| fixed length control field |
02615nam a22003493a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
UPMIN-00006023636 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
UPMIN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20221125131113.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221012b |||||||| |||| 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 2011 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
C6 A47 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Alsado, Peter Raff Bulat-ag. |
| 245 #2 - TITLE STATEMENT |
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| Title |
A hybrid shuffled frog-leaping with harmony search (SFL-HS) algorithm applied to continuous benchmark optimization problems / |
| Statement of responsibility, etc. |
Peter Raff Bulat-ag Alsado. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Date of publication, distribution, etc. |
2011 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
98 leaves |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis (BS Computer Science) -- University of the Philippines Mindanao, 2011 |
| 520 3# - SUMMARY, ETC. |
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| Summary, etc. |
Many real life problems are often formulated as continuous optimization problems. There are several methods reported in literature that can solve many kinds of continuous optimization problems. Evolutionary algorithms have been used to solve these kinds of problems and Shuffled Frog-Leaping Algorithm (SFLA) was one that showed great potential and capability in solving near-optimum solutions to large scale optimization problems. With the trend of hybrid algorithms to create a new and more efficient algorithm, heuristic algorithms were embedded with meta-heuristics to improve the pure algorithm itself. This study developed a hybrid algorithm by combining SFLA and Harmony Search (HS), a meta-heuristic algorithm, to solve two continuous optimization problems; the f8 (Griewank) and ef10(extended f10) functions. The results proved to be worse as compared to the ones obtained by the study of Elbeltagi et al.(2005). However, initial experimentation which regards to the parameters used by the previous ones especially in solving the f8 function in terms of mean fitness and percentage of success. Also, the processing time obtained for the SFL-HS algorithm dominated the ones achieved by the algorithms it was compared to. In relation to this, SFL-HS demonstrated its capability to approach the optimum solution rapidly especially during the earlier generations. A more extensive experimentation for the best parameter settings for SFL-HS could show great promise of producing better results. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Continuous optimization. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Optimization. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Harmony Search (HS) |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Heuristics. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Hybrid algorithms. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Meta-heuristics. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Shuffle-Frog-Leaping Algorithm (SFLA) |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Benchmark optimization. |
| 650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Evolutionary algorithms. |
| 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 |
