Interactive planning system for forest road location

Autor(en): Meignan, David 
Frayret, Jean-Marc 
Pesant, Gilles 
Stichwörter: ALGORITHM; Computer Science; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; Decision support; DESIGN; Forest road location; HEURISTIC APPROACH; Heuristics; Interactive large neighborhood search; Interactive optimization; METHODOLOGY; MULTIOBJECTIVE OPTIMIZATION; NETWORK; SEARCH APPROACH
Erscheinungsdatum: 2015
Herausgeber: SPRINGER
Journal: JOURNAL OF HEURISTICS
Volumen: 21
Ausgabe: 6
Startseite: 789
Seitenende: 817
Zusammenfassung: 
This paper presents an interactive planning system for forest road location. This decision support system is based on an interactive heuristic approach referred to as interactive large neighborhood search, within which the user contributes in a cooperative manner to the optimization process. The objective of this cooperative optimization process is to exploit the problem-domain expertise of the user in order to, on the one hand, guide the search for a solution towards intuitively interesting parts of the solution space, and, on the other hand, generate more practical solutions that integrate aspects of the decision problem that are not captured by the heuristic objective function. This paper more specifically presents the user interface, the interaction mechanisms and the heuristic developed to support the cooperation between the computer and the user. We also present experimental results based on real problem instances, with an expert user. A comparison shows advantages for using the proposed interactive approach over a pure manual or pure automated approach.
ISSN: 13811231
DOI: 10.1007/s10732-015-9299-9

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