A NOTE ON DECISION‐MAKING CRITERIA FOR ALGORITHM SELECTION: REDUCING GOAL PROGRAMMING COMPUTATIONAL EFFORT
作者:
Marc J. Schniederjans,
期刊:
Decision Sciences
(WILEY Available online 1985)
卷期:
Volume 16,
issue 1
页码: 117-122
ISSN:0011-7315
年代: 1985
DOI:10.1111/j.1540-5915.1985.tb01478.x
出版商: Blackwell Publishing Ltd
关键词: Goal Programming
数据来源: WILEY
摘要:
ABSTRACTMost linear goal programming (LPG) algorithms are based on a simplex‐type solution method that begins with an initial simplex tableau with solution‐set variables (basic variables) consisting of all‐negative deviational variables or all‐positive deviational variables. This note (1) demonstrates how computational solution effort can be reduced by selecting the appropriate all‐negative or all‐positive deviational variable algorithm and (2) describes a procedure that can be used to aid decision makers in selecting the appropriate algorithm for all types of applied goal programming (GP) models. Results of this study reveal the procedure as accurate and providing computational time savings when applied to a large sample of
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