Objective Function Designing Led by User Preferences Acquisition
type: Dataset
description: Many real world problems can be defined as optimisation problems in which the aim is to maximise an objective function. The quality of obtained solution is directly linked to the pertinence of the used objective function. However, designing such function, which has to translate the user needs, is usually fastidious. In this paper, a method to help user objective functions designing is proposed. Our approach, which is highly interactive, is based on man machine dialogue and more particularly on the comparison of problem instance solutions by the user. We propose an experiment in the domain of cartographic generalisation that shows promising results.
issued: 2026-05-21T03:15:43.522789
language: en
modified: 2026-05-21T03:15:43.522794
contact point: Organization
  fn: CCSD
keyword: cartographic-generalisation
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-aicomputer-science-csartificial-intelligence-csai
keyword: infoinfo-hccomputer-science-cshuman-computer-interaction-cshc
keyword: infoinfo-lgcomputer-science-csmachine-learning-cslg
keyword: man-machine-dialogue
keyword: objective-function-designing
keyword: user-needs-definition
landing page: International Conference on Information Technology and Applications

Objective Function Designing Led by User Preferences Acquisition
type: Distribution
format: HTML
issued: 2026-05-21T03:15:43.544205
modified: 2026-05-21T03:15:43.469820
access URL: https://hal.science/hal-00690197

test_moissonnage_selune
type: Agent