Title
Heuristic sensitivity analysis in a combinatoric environment: An exposition and case study
Abstract
Sensitivity orpost-optimality analysis investigates the effect of parametric changes on heuristic robustness and solution quality. This approach is relatively unexplored for combinatorial optimization problems, and yet is of considerable interest in analyzing performance characteristics of heuristic approaches. The purpose of this paper is to: (1) develop the semantics and rationale of parametric analysis within the combinatoric environment; (2) present as an example the design and implementation of sensitivity analysis procedures for a newly developed heuristic — theVariable-Depth-Search Heuristic (VDSH) — to solve the Generalized Assignment Problem (GAP). The concepts and methodology discussed in this paper may as well be applied to other heuristics, or in developing a heuristic sensitivity analysis procedure for a large-scale optimization method.
Year
DOI
Venue
1998
10.1016/S0377-2217(97)00104-5
European Journal of Operational Research
Keywords
Field
DocType
Combinatorial analysis,Integer programming,Heuristics,Transportation,Assignment
Mathematical optimization,Heuristic,Generalized assignment problem,Combinatorial optimization,Robustness (computer science),Heuristics,Parametric statistics,Integer programming,Semantics,Mathematics
Journal
Volume
Issue
ISSN
108
3
0377-2217
Citations 
PageRank 
References 
2
0.40
6
Authors
3
Name
Order
Citations
PageRank
M AMINI1283.55
Michael Racer2425.03
Parviz Ghandforoush320.40