Buscar recursos académicos

Our interest is to define evolutionary algorithms to solve Constraint Satisfaction Problems (CSP), which indlude benefits of taditional resolution methods of CSPs as well as inherent characteristics of these kind of prob...

This paper proposes a hybrid particle swarm approach called Simple Multi-Objective Particle Swarm Optimizer (SMOPSO) which incorporates Pareto dominance, an elitist policy, and two techniques to maintain diversity: a mut...

Niche formation allows evolutionary algorithms to be used when the location and maintenance of multiple solutions appertaining to diverse areas of the phenotypic space is required. Consequently the application field can ...

An attempt has been made in this paper to access the control layer of the General Packet Radio Service (GPRS) network base station (BS), using throughput optimization. We focus on the effect of packet transmissions on th...

The present investigation concerns the development of a floating matrix tablet, which after oral administration prolong the gastric residence time and increases bioavailability of drugs, which are predominantly absorbed ...

The aim of the present investigation was to develop a modified release effervescent floating drug delivery system of famotidine for 12 h dosage regimen to improve its bioavailability. Effervescent floating tablets were...

In this paper, we present a new model of an artificial immune system (AIS), based on the process that suffers the T-Cell, it is called T-Cell Model. It is used for solving constrained (numerical) optimization problems. T...

In this paper, an analysis of the 4-(N2-1) Puzzle, which is a generalization of the (N2-1) Puzzle, is presented. This problem is of interest due to its algorithmic and computational complexity and its applications to rob...

This paper includes part of the strategies used to solve a scheduling problem developed for a company that produces flexible packaging, presented in a quite general form though. In this problem it is necessary to schedul...

El crecimiento tecnológico va de la mano con el crecimiento y evolución de las aplicaciones. Con el correr del tiempo las redes de datos requieren más disponibilidad tornándose crítico para una red académica o priv...

This paper presents a hybrid method to solve hard multiobjective problems. The proposed approach adopts an epsilon-constraint method which uses a Particle Swarm Optimizer to get points near of the true Pareto front. In t...