Teeth discoloration and prescribed slimming magistral formula : a case report

Poster presented at the 4th International Congress of CiiEM - "Health, Well-being and Ageing in the XXI Century." 2-5 June 2019, Campus Egas Moniz, Monte de Caparica, PortugalN/

Slimming using magistral formulas: what are the risks?

Abstract in proceedings of the Fourth International Congress of CiiEM: Health, Well-Being and Ageing in the 21st Century, held at Egas Moniz’ University Campus in Monte de Caparica, Almada, from 3–5 June 2019.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.info:eu-repo/semantics/publishedVersio

Magistral slimming : what are the risks?

Poster presented at the 4th International Congress of CiiEM - "Health, Well-being and Ageing in the XXI Century." 2-5 June 2019, Campus Egas Moniz, Monte de Caparica, PortugalN/

Sexual and reproductive health: the science behind supplementation in aging

Abstract in proceedings of the Fourth International Congress of CiiEM: Health, Well-Being and Ageing in the 21st Century, held at Egas Moniz’ University Campus in Monte de Caparica, Almada, from 3–5 June 2019.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.info:eu-repo/semantics/publishedVersio

Sexual and reproductive health : the science behind supplementation in aging

Abstract of the communication presented at the 4th International Congress of CiiEM - "Health, Well-being and Ageing in the XXI Century." 2-5 June 2019, Campus Egas Moniz, Monte de Caparica, Portugal.N/

Experiences with reduction method to solve semi-infinite programming problems

In this talk, some variants of reduction-type method combined with a line search filter method to solve nonlinear semi-infinite programming problems are presented. We use the stretched simulated annealing method and the branch and bound technique to compute the maximizers of the constraint. The filter method is used as an alternative to merit functions to promote convergence from poor starting points

A study of simulated annealing variants

This work presents a study of some variants of simulated annealing method

Caracterização da função de penalidade exponencial na resolução de problemas de programação semi-infinita

Os problemas de programação semi-infinita (PSI) são caracterizados por terem um conjunto finito de variáveis e um número infinito de restrições. A classe de métodos de redução é baseada na ideia que, sob certas condições, é possível substituir as infinitas restrições por um conjunto finito de restrições que, localmente, é suficiente para definir a região admissível do problema PSI. Neste trabalho é proposto um novo método de redução que combina o método simulated annealing para a optimização multilocal, e o método de penalidade para a optimização não linear com restrições

A stretched simulated annealing algorithm for locating all global maximizers

Work partially supported by FCT grant POCTI/MAT/58957/2004.In this work we consider the problem of finding all the global maximizers of a given multimodal optimization problem. We propose a new algorithm that combines the simulated annealing (SA) method with a function stretching technique to generate a sequence of global maximization problems that are defined whenever a new maximizer is identified. Each global maximizer is located through a variant of the SA algorithm. Results of numerical experiments with a set of well-known test problems show that the proposed method is effective. We also compare the performance of our algorithm with other multi-global optimizers

Reduction method with simulated annealing for semi-infinite programming

Semi-infinite programming (SIP) problems are characterized by a finite number of variables and an infinite number of constraints. The class of the reduction methods is based on the idea that, under certain conditions, it is possible to replace the infinite constraints by a finite set of constraints, that are locally sufficient to define the feasible region of the SIP problem. We propose a new reduction method based on a simulated annealing algorithm for multi-local optimization and the penalty method for solving the finite problem