Paper Info
Title
Set covering-based surrogate approach for solving sup-T equation constrained optimization problems.
Abstract
This work considers solving the sup- equation constrained optimization problems from the integer programming viewpoint. A set covering-based surrogate approach is proposed to solve the sup- equation constrained optimization problem with a separable and monotone objective function in each of the variables. This is our first trial of developing integer programming-based techniques to solve sup- equation constrained optimization problems. Our computational results confirm the efficiency of the proposed method and show its potential for solving large scale sup- equation constrained optimization problems.
Year
DOI
Venue
2011
https://doi.org/10.1007/s10700-011-9099-0
FO & DM
Keywords
DocType
Volume
Fuzzy relational equations,Triangular norms,Fuzzy optimization,Set covering problems
Journal
10
Issue
ISSN
Citations 
2
1568-4539
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Cheng-Feng Hu1394.89
Shu-Cherng Fang2115395.41