Title
Unbounded Components in the Solution Sets of Strictly Quasiconcave Vector Maximization Problems
Abstract
Let (P) denote the vector maximization problem $$\max\{f(x)=\big(f_1(x),\ldots,f_m(x)\big){:}\,x\in D\},$$ where the objective functions f i are strictly quasiconcave and continuous on the feasible domain D, which is a closed and convex subset of R n . We prove that if the efficient solution set E(P) of (P) is closed, disconnected, and it has finitely many (connected) components, then all the components are unbounded. A similar fact is also valid for the weakly efficient solution set E w (P) of (P). Especially, if f i (i=1,...,m) are linear fractional functions and D is a polyhedral convex set, then each component of E w (P) must be unbounded whenever E w (P) is disconnected. From the results and a result of Choo and Atkins [J. Optim. Theory Appl. 36, 203---220 (1982.)] it follows that the number of components in the efficient solution set of a bicriteria linear fractional vector optimization problem cannot exceed the number of unbounded pseudo-faces of D.
Year
DOI
Venue
2007
10.1007/s10898-006-9032-1
J. Global Optimization
Keywords
Field
DocType
Strictly quasiconcave vector maximization problem,Efficient solution set,Weakly efficient solution set,Unbounded component,compactification procedure,90C29,90C26
Discrete mathematics,Combinatorics,Mathematical optimization,Vector optimization,Vector maximization,Quasiconvex function,Convex set,Regular polygon,Solution set,Mathematics
Journal
Volume
Issue
ISSN
37
1
0925-5001
Citations 
PageRank 
References 
2
0.38
0
Authors
4
Name
Order
Citations
PageRank
T. N. Hoa120.38
N. Q. Huy2475.11
T. D. Phuong320.38
N. D. Yen410417.57