IES Management College And Research Centre

IMPROVED HEURISTIC ALGORITHM ANALYSIS FOR TASK SCHEDULING IN FLOW SHOP ENVIRONMENT (Record no. 40866)

MARC details
000 -LEADER
fixed length control field 02046nam a22001697a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20151210203221.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151210b xxu||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name DHINGRA, SUNITA
9 (RLIN) 20093
245 ## - TITLE STATEMENT
Title IMPROVED HEURISTIC ALGORITHM ANALYSIS FOR TASK SCHEDULING IN FLOW SHOP ENVIRONMENT
Statement of responsibility, etc DHINGRA, SUNITA
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc HYDERABAD
Name of publisher, distributor, etc ICFAI
Date of publication, distribution, etc OCTOBER 2015
300 ## - PHYSICAL DESCRIPTION
Extent 21-30
500 ## - GENERAL NOTE
General note TASK SCHEDULING IN FLOW SHOP DEALS WITH DETERMINATION OF OPTIMAL SEQUENCE OF TASKS (JOBS) TO BE PROCESSED ON SOME PROCESSORS (MACHINES) IN A PREDETERMINED ORDER SO AS TO SATISFY CERTAIN OBJECTIVES HEURISTICS WERE REVEALED TO YIELD NEAR TO OPTIMAL SOLUTIONS IN A REASONABLE TIME AS THE PROBLEM BELONGS TO NP HARD. THE HEURISTIC ALGORITHM WITH ALGORITHMIC PARAMETER (K) OF 6 AND 24 ACHIEVED THE BEST-KNOWN RESULTS, WHILE MAINTAINING THE SAME ALGORITHMIC COMPLEXITY FOR MAKESPAN MINIMIZATION. HOWEVER, THE SOLUTION QUALITY MAY ALSO DEPEND ON TUNING OF PARAMETER K. IN THE PRESENT WORK, AN ATTEMPT WAS MADE TO ANALYZE THE IMPROVED HEURISTIC ALGORITHM WITH DIFFERENT ALGORITHMIC PARAMETER K. ALL THE COMPUTATIONAL EXPERIMENTS WERE DONE ON TAILARD BENCHMARKS INSTANCES UP TO 500 JOBS AND 20 MACHINE PROBLEMS IN THE FLOW SHOP ENVIRONMENT. ANOVA WAS APPLIED FOR STATTISTICAL ANALYSIS WITH VARIATION OF MACHINE SIZE ALONG WITH PARAMETER K. IT WAS FOUND THAT ALGORITHMIC PARAMETER K DOES NOT CONTRIBUTE SIGNIFICANT RESULTS AT 5% LEVEL OF SIGNIFICANCE FOR THE PROBLEM CONSIDERED, RATHER INCREASE IN VALUE OF K INCREASES THE COMPUTATIONAL TIME OF THE IMPROVED HEURISTICS. IT IS THE SIZE OR MACHINES WHICH WAS A SIGNIFICANT EFFECT ON THE RESULTS. HOWEVER, OPTIMAL ALGORITHMIC PARAMETER, K=24 FOR 5 MACHINES, K = 12 FOR 10 MACHINES AND K = 6 FOR 20 MACHINES FOR DIFFERENT JOB SIZE PROBLEMS PROVIDES THE MINIMUM MARGINAL MEANS OF RESULTS.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element SCHEDULING, FLOW SHOP, HEURISTICS, NAWAZ-ENSCORE-HAM (NEH)
9 (RLIN) 20094
773 0# - HOST ITEM ENTRY
Host Biblionumber 30426
Host Itemnumber 55693
Main entry heading MURTHY, E N
Edition
Place, publisher, and date of publication IUP PUBLICATION HYDERABAD
Other item identifier 5555116
Title COMPUTER SCIENCES
Record control number
International Standard Serial Number
International Standard Book Number
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from
    Dewey Decimal Classification     Main Library Main Library 10/12/2015   VOL. IX, NO. 4/5555116JA2 5555116JA2 10/12/2015 10/12/2015

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