This paper presents an alternative approach to the problem of regression. The methodology we describe allows the use of classification algorithms in regression tasks. From a practical point of view this enables the use of a wide range of existing Machine Learning (ML) systems in regression problems. In effect, most of the widely available systems deal with classification. Our method works as a ...

The importance of optimal routing arises in high traac networks where the average delay across a link is sensitive to the assignment of routes to source-destination pairs. The current single path routing algorithms do not take into account the eeects of routing multiple source-destination pairs over common links and, consequently, may not lead to a minimum delay allocation of routes. In this pa...

afghanistan is a land-locked country that depends on its neighboring countries to transit essential commodities. iran, for its proximity and access to the high seas, seems to have the most economical route to meet afghanistan’s needs. however, this country did not pursue such an economical route due to its western tendencies and its foreign policies which were completely different with iran’s. ...

Assigning operations to feasible and suitable machine-tool combination is one of the significant problems in a flexible manufacturing system (FMS). This assignment affects on the total production costs and thus selecting the best combination is very significant for the system. This paper considers a multi-objective problem that minimizes the machining cost, setup cost and material handling cost...

Global offshoring has increased the need for transport of half-finished goods and components, along with finished goods. The auto-parts industry in Korea has also entered the global market as Korean car manufacturers have started to build overseas factories. Maintaining cost competitiveness by minimising total logistics costs will thus be a critical strategy for the industry. This research comp...

This paper describes an R package, rpartOrdinal, that implements alternative splitting functions for fitting a classification tree when interest lies in predicting an ordinal response. This includes the generalized Gini impurity function, which was introduced as a method for predicting an ordinal response by including costs of misclassification into the impurity function, as well as an alternat...