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Particle swarm optimization (PSO) has been widely used to solve unconstrained optimization problems. However, problems in hyper dimensional spaces require the development of enhanced issues. For this, some variations of the original PSO form have been proposed, mainly concerning on the velocity update equation and sophisticated communication topologies of the swarm. In this paper, we propose a PSO...
A neurogenetic approach is presented for solving constrained nonlinear convex optimization problems with joint and disjoint feasible regions. More specifically, a modified Hopfield neural network is associated with a genetic algorithm in order to treat optimization and constraint terms in different stages with no interference with each other. Under the condition that the objective function is convex...
CAC-RD (call admission control based on reservation and diagnosis) [1] is call admission control (CAC) for UMTS (universal mobile terrestrial system) 3G networks. It is based on two schemes: channel reservation and network diagnosis. When compared to other CAC mechanisms, CAC-RD can guarantee network availability, reducing priority classes blocking and guarantying some network QoS requirements. Due...
Many problems involve not structured environments which can be solved from the perspective of particle swarm optimization (PSO). In this research analyze the voting behavior in a popular song contest held every year in Europe. The dataset makes it possible to analyze the determinants of success, and gives a rare opportunity to run a direct test of vote trading from logrolling. We show that they are...
Classical fuzzy controllers have been of the rule-based type, where the rules in the controller attempt to model the response of an operator to a particular process situation. Based on the ability of fuzzy systems to approximate any nonlinear mapping, the nonlinear plant is represented by a zeroth-order Takagi Sugeno fuzzy model and it is analytically inverted for designing a fuzzy controller. In...
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