Uncertain programming: a unifying optimization theory in various uncertainenvironments

Authors
Citation
Bd. Liu, Uncertain programming: a unifying optimization theory in various uncertainenvironments, APPL MATH C, 120(1-3), 2001, pp. 227-234
Citations number
24
Categorie Soggetti
Engineering Mathematics
Journal title
APPLIED MATHEMATICS AND COMPUTATION
ISSN journal
00963003 → ACNP
Volume
120
Issue
1-3
Year of publication
2001
Pages
227 - 234
Database
ISI
SICI code
0096-3003(20010510)120:1-3<227:UPAUOT>2.0.ZU;2-1
Abstract
By uncertain programming we mean the optimization theory in generally uncer tain (random, fuzzy, fuzzy random, grey, etc.) environments. Three broad cl asses of uncertain programming are expected value models and chance-constra ined programming as well as dependent-chance programming. In order to solve general uncertain programming models, a simulation-based genetic algorithm is also documented. Finally some applications and further research problem s appearing in this area are posed. (C) 2001 Elsevier Science Inc. All righ ts reserved.