Initial studies on the hybridization of particle swarm optimization-simulated annealing (PSO-SA) approach applied to the classical 0/1knapsack problem / (Record no. 535)

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fixed length control field 02281nam a2200241 4500
001 - CONTROL NUMBER
control field UPMIN-00000010900
003 - CONTROL NUMBER IDENTIFIER
control field UPMIN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221014105316.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221014b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency UPMin
Modifying agency upmin
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) LG993.5 2006
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) C6 E87
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Espera, Dari Jayne Mingoy.
245 00 - TITLE STATEMENT
Title Initial studies on the hybridization of particle swarm optimization-simulated annealing (PSO-SA) approach applied to the classical 0/1knapsack problem /
Statement of responsibility, etc. Dari Jayne Mingoy Espera.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2006
300 ## - PHYSICAL DESCRIPTION
Extent 79 leaves.
502 ## - DISSERTATION NOTE
Dissertation note Thesis (BS Computer Science) -- University of the Philippines Mindanao, 2006
520 3# - SUMMARY, ETC.
Summary, etc. The program developed verifies solutions to the results of the Knapsack Particle Swarm Optimization (KPSO) algorithm conducted by Grosan et. al. (2003). The program used to heuristic methods which are the Particle Swarm Optimization (PSO) and Simulated Annealing (SA) algorithm in validating solutions to known optimum solutions of the Classical 0/1 Knapsack Problem. Three knapsack sample test were considered in this study. It accepts an input file of the given knapsack parameters: number of items, knapsack capacity, weight list, profit list, optimal weight and optimal profit. The output of each run gives the decimal values and equivalent binary values that determine which item is included in to the knapsack. Moreover, the program also validates other knapsack problems provided that proper parameters are given. Additional feature of this program is it can specify parameters of both PSO and Sa algorithms without the need of recompiling the entire code. The program also generates other possible solutions to the Classical 0/1 Knapsack Problem since it deals with verifying the known optimum solutions. Numerical experiments show the effectiveness of this hybrid approach. This hybrid of meta-heuristic techniques can indeed be a powerful tool in the future to solve other optimization problems in the fast-changing world of applied mathematics and computer science. Scalability of the developed algorithms, however, needs to be verified for number of items larger than twenty (20)
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
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Status Collection Home library Current library Shelving location Date acquired Source of acquisition Accession Number Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Library of Congress Classification   Not For Loan Preservation Copy University Library University Library Archives and Records 2006-06-27 donation UAR-T-gd739   LG993.5 2006 C6 E87 3UPML00021983 2022-09-21 2022-09-21 Thesis
    Library of Congress Classification   Not For Loan Room-Use Only College of Science and Mathematics University Library Theses 2006-06-27 donation CSM-T-gd1424   LG993.5 2006 C6 E87 3UPML00011615 2022-09-21 2022-09-21 Thesis
 
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