A particle swarm optimization-invasive weed optimization (PSO-IWO) algorithm for the uncapacitated facility location problem / (Record no. 2547)

MARC details
000 -LEADER
fixed length control field 02388nam a22003253a 4500
001 - CONTROL NUMBER
control field UPMIN-00005727659
003 - CONTROL NUMBER IDENTIFIER
control field UPMIN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230209165206.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230209b |||||||| |||| 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 #0 - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) LG 993.5 2011
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) A64 S24
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sagpang, Whimcy Luck Cabido.
9 (RLIN) 2331
245 #2 - TITLE STATEMENT
Title A particle swarm optimization-invasive weed optimization (PSO-IWO) algorithm for the uncapacitated facility location problem /
Statement of responsibility, etc. Whimcy Luck Cabido Sagpang.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2011
300 ## - PHYSICAL DESCRIPTION
Extent 70 leaves.
502 ## - DISSERTATION NOTE
Dissertation note Thesis (BS Applied Mathematics) -- University of the Philippines Mindanao, 2011
520 3# - SUMMARY, ETC.
Summary, etc. This study was done to solve uncapacitated facility location problems (FLP) using a new hybrid of two optimization algorithms. Particle Swarm Optimization-Invasive Weed Optimization (PSO--IWO) algorithm was applied to a real small-scaled data and a simulated large-scaled data. In this study, IWO was used as a local search heuristic t PSO which improved its searching ability towards the optimal solution. Twenty-four parameter sets were tested for the small-scaled data and twelve of these parameter sets were applied to the large-scaled data to verify results obtained from the small-scaled uncapacitated FLP. The solution obtained was further verified using binary integer programming. The optimal solution was to open facilities 3,4,6,7,8 and 10 with a total cost of 13.90518 million. It was observed that the maximum number of iterations had little or no effect on the algorithm since it was able to converge at an earlier time. The behavior of PSO-IWO observed in the small-scaled uncapacitated FLP was also evident in the large-scaled uncapacitated FLP. The optimal solution obtained incurred in a total cost of 263.15322 million. It was also observed that by not restricting the problem to open a limited number of facilities, a better solution can be obtained.
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Hybrid algorithm.
9 (RLIN) 945
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Algorithm.
9 (RLIN) 1365
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Invasive weed optimaztion.
9 (RLIN) 2332
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 Particle swarm optimization.
9 (RLIN) 2333
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Uncapacitated facility location problem.
9 (RLIN) 2165
650 17 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element FLP (Facility Location Problem)
9 (RLIN) 2334
658 ## - INDEX TERM--CURRICULUM OBJECTIVE
Main curriculum objective Undergraduate Thesis
Curriculum code AMAT200,
Source of term or code BSAM
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 2014-03-06 donation UAR-T-gd1961   LG 993.5 2011 A64 S24 3UPML00033550 2022-10-05 2022-10-05 Thesis
    Library of Congress Classification   Not For Loan Room-Use Only College of Science and Mathematics University Library Theses 2011-06-21 donation CSM-T-gd2741   LG 993.5 2011 A64 S24 3UPML00012787 2022-10-05 2022-10-05 Thesis
 
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