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Subjects / keywords: Ciencias Sociales; Violencia en la Sociedad

Subjects / keywords: Psicología; General

In evolutionary algorithms based on genetics, the crossover operation creates individuals by interchanging genes. On the other side selection mechanisms aim to favour reproduction of better individuals imposing a directi...

In this paper, the three-stage two-dimensional rectangular strip packing problem is tackled using genetic algorithms. A new problem dependent recombination operator, called best inherited levels recombination (BIL), is i...

The Vehicle Routing Problem (VRP) deals with the assignment of a set of transportation orders to a fleet of vehicles, and the sequencing of stops for each vehicle to minimize transportation costs. In this paper we study ...

Artificial Intelligence (AI) has long dealt with the issue of finding a suitable formalization for commonsense reasoning. Defeasible argumentation has proven to be a successful approach in many respects, proving to be a ...

Many different areas in Computer Science - like Real Time Systems, Temporal Data Bases, Program Verification and Multimedia-demandan adequate way to represent and use the notions of time and change. We present a programm...

The Handbook on Gender Equality, Equity, and Inclusion in Sports is an intellectual output of the Women in Sport: Gender Relations and Future Perspectives (Women-Up) project, co-funded by the European Union, This compreh...

Monitoring and controlling of large power systems is becoming more challenging as a consequence of the growth of their size, increasing demand for electricity, penetration of variable renewable energy sources, uncertaint...

The essential guide to safe and efficient load securing. In the transport of goods, incorrect stowage and load securing can lead to accidents, damage to people, vehicles or infrastructure, legal penalties, and financial ...

Genetic algorithms (GAs) are stochastic adaptive algorithms whose search method is based on simulation of natural genetic inheritance and Darwinian strive for survival. They can be used to find approximate solutions to n...

Allocation of the components (tasks) of a parallel program to processors in a multiprocessor or a multicomputer system take full advantage of the computational power provided by the system. Evolutionary approaches has b...

In this article we are presenting a new perspective on the matter of belief revision by its relation to argumentation systems. Our approach is based on the argumentative formalism Defeasible Logic Programming, and theref...

Historically Functional Programming FP for short has been associated with a small scope of applications mainly academic The computer science community did not pay enough attention to its potential perhaps due t...

There are many different forms of recombination operators available in literature. However, it is difficult to determine a priori which one is the best suited for a given problem. This issue encourages us to propose an a...

We present a new approach for iris recognition based on a random sampling strategy. Iris recognition is a method to identify individuals, based on the analysis of the eye iris. This technique has received a great deal of...

Multiple crossover per couple (MCPC) is a newly introduced crossover method which in contrast with the single crossover per couple approach (SCPC), permits more than one crossover operation for each mating pair. MCPC was...

La adaptación de parámetros y operadores es una de las más importantes y promisorias áreas de investigación en la computación evolutiva. La idea es ajustar el algoritmo al problema, mientras el problema se resuelve...

Evolutionary algorithms (EAs) can be used as optimisation mechanisms. Based on the model of natural evolution, they work on populations of individuals instead of on single solutions. In this way, the search is performed ...

The aim of this work is to relate two apparently independent concepts as belief revision and relevance. We propose a formal characterization for the notion of (ir)relevance by means of a set of postulates. Then we define...

Two powerful metaheuristics being used successfully since their creation for the resolution of optimization problems are Cellular Genetic Algorithm (cGA) and Particle Swam Optimization (PSO). Over the last years, interes...

In this work, we study the behavior of several cellular memetic algorithms (cMAs) when solving the satisfiability problem (SAT). The proposed cMAs are the result of including hybridization techniques in dif- ferent struc...

The cooperative and collaborative work between Universities and Libraries are key points for teachers, researchers and students to make progress in their studies and research. The Library Linkage Initiative has pursued t...

Throughout Argentina, like in many developing countries, several ru-ral areas with low population density are present. This distribution becomes an obstacle when seeking solutions to provide broadband services with an ef...