Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 110354
Title Generation and presentation of nearly optimal solutions for mixed integer linear programming, applied to a case in farming system design
Author(s) Makowski, D.; Hendrix, E.M.T.; Ittersum, M.K. van; Rossing, W.A.H.
Source European Journal of Operational Research 132 (2001). - ISSN 0377-2217 - p. 425 - 438.
DOI https://doi.org/10.1016/S0377-2217(00)00134-X
Department(s) Biological Farming Systems
Operations Research and Logistics
Plant Production Systems
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2001
Abstract In complex decision problems, some objectives are not well quantified or are not introduced explicitly in optimization models. In view of this inherent limitation of models, solutions that are nearly optimal, i.e. deviating less than a predefined percentage from the optimal value of the quantified objective functions, can constitute interesting alternatives for stakeholders. The aim of this paper is to extend the analysis of nearly optimal solutions to mixed-integer linear programming (MILP) models. Two branch-and-bound algorithms are described to generate nearly optimal solutions, and methods are discussed to summarise and to present nearly optimal solutions. A case study is introduced with an MILP model developed to design farming systems in the Netherlands. This case study shows that the presentation of nearly optimal solutions provides relevant information to resolve complex decision problems
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.