Selection is one of the key operations of genetic algorithm (GA). This paper presents a comparative analysis of GA performance in solving multi-objective network design problem (MONDP) using different parent selection methods. Three problem instances were tested and results show that on the average tournament selection is the most effective and most efficient for 10-node network design problem,...

A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Selection is known as Feature Ranking, ranking the features with respect to their relevance. This paper proposes an ensemble approach for Feature Ranking, aggregating feature rankings extracted along independent runs of a...

a) Audubon Watchlist: Red or Yellow List rankings b) Partners in Flight North American Landbird Conservation Plan (Rich et al. 2004): Watch List ranking c) Intermountain West Waterbird Conservation Plan (Ivey and Herziger 2006): High or Moderate Concern rankings d) Intermountain West Regional Shorebird Plan (Oring et al. 2000): Critically Important or Very Important rankings e) Pacific Flyway p...

Increasing global notices in environmental protection, green supply chain management (GSCM) has received much attention by researchers and managers more than the past. Commonly, firms have considered cost criteria to select their suppliers. Despite the fact that there are various papers considering the formal criteria in supplier selection, there is a few limited numbers considering the environ...

This paper deals with the problem of supervised wrapper-based feature subset selection in datasets with a very large number of attributes. Recently the literature has contained numerous references to the use of hybrid selection algorithms: based on a filter ranking, they perform an incremental wrapper selection over that ranking. Though working fine, these methods still have their problems: (1)...

As the offshoring becomes more widespread, business practitioners outsource their activities to overseas countries. Although there is a wealth of academic literature examining outsourcing and offshoring, there is little literature that addresses the current outsourcing decision most firms facing, which is where to outsource. Given multi-attribute nature of offshore location selection, this pape...

This paper explores utilization of information from social networks in making automatic movie recommendations. Implementations of three different algorithms (SVM, Clustering, and Ranking SVM) are implemented and evaluated. The general approach utilizes a large collection of Facebook profile information as training set in order to generate a list of movie recommendations for a particular user (c...

The selection of optimum support system is a key step in the successful design operation of tunneling, rock mass stabilization and minimization of plastic zone extension around a tunnel. In this context, it is not sufficient to rely only on the experiences of design engineers, but taking all effective measures and parameters is necessary to do a proper choice. In this paper, multi attribute dec...

In this paper we present a new approach for the planning of an investment project in the field of building construction. The focus is in shaping of the concept that serves to facilitate decision making about investments through providing support to investors’ when they are dealing with a problem selection of a solution for investment project. The concept is based on the combined use of several ...

Community question answering (cQA) websites are focused on users who query questions onto an online forum, expecting for other users to provide them answers or suggestions. Unlike other social media, the length of the posted queries has no limits and queries tend to be multi-sentence elaborations combining context, actual questions, and irrelevant information. We approach the problem of questio...