Solving gate allocation problem (AGAP) using distance-evaluated particle swarm optimization (DEPSO) / (Record no. 7533)

MARC details
000 -LEADER
fixed length control field 02228ntm a2200289 a 4500
001 - CONTROL NUMBER
control field vtls000101050
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117113354.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170822s2017 my a f m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0005312(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905151045
Level of effort used to assign nonsubject heading access points hanafiah
Level of effort used to assign subject headings 201712061144
Level of effort used to assign classification huda
-- 201708221432
-- saini
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) FKP .A953 2017 r Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Azlan Ahmad Tajuddin
245 10 - TITLE STATEMENT
Title Solving gate allocation problem (AGAP) using distance-evaluated particle swarm optimization (DEPSO) /
Statement of responsibility, etc. Azlan Ahmad Tajuddin
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2017
300 ## - PHYSICAL DESCRIPTION
Extent xii, 79 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 CD-ROM
500 ## - GENERAL NOTE
General note Faculty of Manufacturing Engineering
502 ## - DISSERTATION NOTE
Dissertation note Project Paper (Bachelor of Mechatronics Engineering (Hons.)) -- Universiti Malaysia Pahang – 2017
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography: p. 62-63
520 ## - SUMMARY, ETC.
Summary, etc. Assignment of flights to gates at an airport become very complex nowadays, especially for unprepared airport. In this investigation, the airport gate allocation problem is solved using a recently introduced Meta-heuristic and also one of the extensions from Particle Swarm Optimization (PSO) which is called Distance-Evaluated Particle Swarm Optimization (DEPSO). The first objective of this investigation is to minimize the passengers; total walking distance from gate to exit/entrance and from gate to gate (transit). Since the airport gate allocation problem is a discrete combinatorial problem, the original continuous PSO is extended to DEPSO such that PSO can be used to solve these discrete combinatorial problem. After that, the second objectives is to evaluate the performance of the DEPSO manually using Excel. Last but not least, a small real life problem or an application for the case study, an airport with 40 flights, 14 numbers of plane and 16 gates has been successfully optimized using DEPSO algorithm.
610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Faculty of Manufacturing Engineering
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Universities and Colleges
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theses
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://ecollib.ump.edu.my/27199/">http://ecollib.ump.edu.my/27199/</a>
Public note Access in library only
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   FKP .A953 2017 r Bc. 0000119167 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 10800 | FKP .A953 2017 r Bc. 0000119168 04/09/2019 1 04/09/2019 Final Year Report

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