A greedy algorithm for minimizing a separable convex function over a finite jump system

A greedy algorithm for minimizing a separable convex function over a finite jump system

0.00 Avg rating0 Votes
Article ID: iaor19961811
Country: Japan
Volume: 38
Issue: 3
Start Page Number: 362
End Page Number: 375
Publication Date: Sep 1995
Journal: Journal of the Operations Research Society of Japan
Authors: , ,
Keywords: optimization, programming: integer
Abstract:

The authors present a greedy algorithm for minimizing a separable convex function over a finite jump system equ1, where E is a nonempty finite set and equ2 is a nonempty finite set of integral points in equ3 satisfying a certain exchange axiom. The concept of jump system was introduced by A. Bouchet and W.H. Cunningham. A jump system is a generalization of an integral bisubmodular polyhedron, an integral polymatroid, a (poly)-pseudomatroid and a delta-matroid, and has combinatorially nice properties. The algorithm starts with an arbitrary feasible solution and a current feasible solution incrementally moves toward an optimal one in a greedy way. The authors also show that the greedy algorithm terminates after changing an initial feasible solution at most equ4 times, where for each equ5 and equ6

Reviews

Required fields are marked *. Your email address will not be published.