We propose a learning algorithm for solving the traveling salesman problem based on a simple strategy of trial and adaptation: i) A tour is selected by choosing cities probabilistically according to the “synaptic” strengths between cities. ii) The “synaptic” strengths of the links that form the tour are then enhanced (reduced) if the tour length is shorter (longer) than the average result of th...

One of the important problems studied in the area of travel behavior analysis is travel mode choice which is one of the four crucial steps in transportation demand estimation for urban planning. State of the art models in travel demand modelling can be classified as trip based; tour based; and activity based. In trip based approach, each individual trips is modelled as independent and isolated ...

Trip planning is both challenging and tedious for tourists due to their unique interest preferences and various trip constraints. Despite the availability of online resources for tour planning and services provided by tour agencies, there are various challenges such as: (i) selecting POIs that are personalized to the unique interests of individual travellers; (ii) constructing these POIs as an ...

Sri Lanka being a popular tourist destination entertains a large number of tourists each year. Tourists are issued a printed guide booklet to find out interesting places during the visit. Due to the lack of up to date information and navigation support, tourists are not able to visit all the attractions during a visit. Our researched was based on discovering a solution to improve this situation...

The spatial organization of the genome plays a crucial role in the regulation of gene expression. Recent experimental techniques like Hi-C have emphasized the segmentation of genomes into interaction compartments that constitute conserved functional domains participating in the maintenance of a proper cell identity. Here, we propose a novel method, IC-Finder, to identify interaction compartment...

This paper proposes a simple and scalable web-based model for grid resource discovery for the Internet. The resource discovery model contains the metadata and resource finder web services. The information of resource finder web services is kept in the repositories that are distributed in the application layer of Internet. The resource finder web services will be discovered by sending queries to...