In this work, it is investigated an improved chaos particle swarm optimization (IC-PSO) scheme to refine the quality of the algorithm solutions regarding to solve the optimal power allocation in next generation passive optical networks (NG-PON)s. The proposed IC-PSO scheme utilizes the Beta distribution instead of uniform distribution of the traditional PSO. A factor of damping based in the chaotic logistic map related to the updating of the best global val ue is successful introduced. The numerical results corroborate the best relation between the performance-complexity tradeoff and the quality of the algorithm solutions for the proposed IC-PSO when compared with the classical PSO power allocation scheme. Index Terms-Passive optical network, optical code division multiplexing access, chaos particle swarm optimization.

Evolutionary heuristic algorithms attempt to biologically emulate the adaptive evolutionary nature of living beings via different procedures. This work proposes new mechanisms for improving the performance-complexity tradeoff of the evolutionary Particle Swarm Optimization (PSO) algorithm applied to parameter estimation of a three-phase induction motor problem subject to the operational changing of motor parameters during its operation. The proposed variant, namely the Halton-Chaos-$\beta$-PSO algorithm, resolves the parameter estimation problem faster and with minor errors than the conventional PSO. An analytical-iterative-heuristic variant combining the augmented Lagrangian method (ALM) and PSO (ALPSO) demonstrated good performance-complexity trade-off, particularly under online operation, with instantaneous (on-fly) modification of the motor parameters. Additionally, the ALM combined with a quasi-Newton method and the PSO hybridization with the gravitational search algorithm (PSOGSA) was evaluated. The efficiency and effectiveness of the proposed hybrid analytical-iterative-heuristic methods are corroborated by extensive numerical simulation results, considering heuristic input parameters tuning, which have revealed a remarkable reduction in the error estimation values when the estimation procedure is deployed dynamically in real-time applications.

Resumo. Recentemente, alguns sistemas estão sendo transferidos para a plataforma web. Muitos serviços e aplicações, incluindo sistemas de automação, são desenvolvidos com interfaces baseadas na Internet. A usabilidade é a principal característica de uma interface e está associada com as funcionalidades de um sistema. Ela descreve o quão bem um produto pode ser utilizado para os fins propostos por seus usuários com eficácia, eficiência e satisfação. Este artigo apresenta a aplicação de técnicas de Lógica Fuzzy na identificação automática de problemas de usabilidade na interface de um sistema web. Os resultados indicam que esta abordagem é satisfatória em relação à identificação automática de possíveis problemas de usabilidade na interface de um sistema web.

No abstract