Nikolaos V. Karadimas

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In the present paper, the Ant Colony System (ACS) algorithm is used for the identification of optimal routes in the case of municipal solid waste (MSW) collection. The proposed MSW management system is based on a geo-referenced spatial database supported by a geographic information system (GIS). The GIS takes into account all the required parameters for(More)
In the present paper the Ant Colony Optimization (ACO) Algorithm is introduced for best routing identification applied in urban solid waste collection. The proposed solid waste management system is based on a geo-referenced Spatial Database supported by a Geographic Information System (GIS). The GIS takes into account all the required parameters for solid(More)
True random number generators can significantly contribute to the development of high security cryptographic schemes, such as those required for use in military applications. This article presents some the results of an innovative method for the generation of truly random number sequences, based on environmental noise measurements. The statistical(More)
The present paper introduces an innovative model for the estimation of urban solid waste productivity using an intelligent system based on fuzzy logic. The model retrieves the required information from a spatial Geodatabase, integrated in a GIS environment. The model takes into consideration several parameters of waste production, such as population(More)
Decisions in today's demanding business environment often require participation of a group of decision makers. Although decision complexity increases by the number of the participating decision makers, in many cases it is necessary to combine experts' knowledge to minimize risk. Banking sector is a domain where decision makers face decision problems and(More)
In the present paper, two individual algorithmic solutions, the ArcGIS Network Analyst and the Ant Colony System (ACS) algorithm, are introduced, implemented and discussed for the identification of optimal routes in the case of Municipal Solid Waste (MSW) collection. Both proposed applications are based on a geo-referenced spatial database supported by a(More)
In the present paper, an innovative model for the estimation of municipal solid waste generation and collection is proposed. This model is part of an extended solid waste management system and uses a spatial Geodatabase, integrated in a GIS environment. It takes into consideration several parameters of waste generation, such as population density,(More)
In the present paper, the Genetic Algorithm (GA) is used for the identification of optimal routes in the case of Municipal Solid Waste (MSW) collection. The identification of a route for MSW collection trucks is critical since it has been estimated that, of the total amount of money spent for the collection, transportation, and disposal of solid waste,(More)
Two important obstacles averting the widespread adoption of knowledge society and e-government technologies in communities are distrust in their reliability and fear of the costs to be incurred. In order to overcome these obstacles, algorithmic advances are required that improve reliability of information systems without increasing their cost. In this paper(More)
Urban solid waste management is one of the most demanding issues of today’s urban areas, requiring large investments for efficient daily collection. Decision makers in the field face many complex decisions varying from solid waste collection to strategy development for the entire urban solid waste management process. Although several researchers have(More)