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The article presents an adaptive hybrid planning system or the interactive solution of multi-objective vehicle routing problems. A general framework was built, being able to handle various components of general vehicle routing problems, e.g. the simultaneous consideration of six optimization criteria. Solutions are constructed and improved in real time allowing the user to adapt his articulated preference...
This paper proposes a new adaptive method for prediction, i.e., prediction by logic reasoning. The paper presents the differences between the traditional prediction methods based on analytic simulation and the new prediction method based on logic reasoning, discusses the logical basis of the new prediction method, and shows that the family of temporal relevant logics can be adopted as the fundamental...
This paper proposes a new sampling procedure for rapidly-exploring random trees (RRT). In traditional path planning methods, sampling procedure is carried out by neglecting the configuration of environment. Hence useless samples tend to be generated; which will result in a waste of computational resources without any considerable improvement in the results. The sampling method proposed in this paper...
In order to appropriately tackle the complexity of real world problems, decision makers often use special support tools. Comprising an important class of such tools, intelligent decision support systems (iDSS) are able to not only help on the decision making process, but also improve their performance through time. Very often the use of intelligent techniques in iDSS focuses only on the reasoning...
The self-adaptive model of a XCS-based ensemble machine solving data-mining tasks has been presented. The results of experiments have shown the ability of the architecture to adapt the parameters of single XCS: the mutation rate mu and the tournament size ts- separately and/or together.
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