Métodos de penalidade exacta para resolução de problemas de optimização não linear

In this work we present a classification of some of the existing Penalty Methods (denominated the Exact Penalty Methods) and describe some of its limitations and estimated. With these methods we can solve problems of optimization with continuous, discrete and mixing constrains, without requiring continuity, differentiability or convexity. The boarding consists of transforming the original problem, in a sequence of problems without constrains, derivate of the initial, making possible its resolution for the methods known for this type of problems. Thus, the Penalty Methods can be used as the first step for the resolution of constrained problems for methods typically used in by unconstrained problems. The work finishes discussing a new class of Penalty Methods, for nonlinear optimization, that adjust the penalty parameter dynamically.Neste trabalho pretende apresentar-se uma classificação dos Métodos de Penalidade existentes (salientando os Métodos de Penalidade Exacta) e descrever algumas das suas limitações e pressupostos. Esses métodos permitem resolver problemas de optimização com restrições contínuas, discretas e mistas, sem requerer continuidade, diferenciabilidade ou convexidade. A abordagem consiste em transformar o problema original, numa sequência de problemas sem restrições, derivados do inicial, possibilitando a sua resolução pelos métodos conhecidos para este tipo de problemas. Assim, os Métodos de Penalidade podem ser usados como o primeiro passo para a resolução de problemas de optimização permitindo a resolução de problemas com restrições por métodos tipicamente utilizados em problemas sem restrições. O trabalho termina com a discussão de uma nova classe de Métodos de Penalidade, para optimização não linear, que ajustam o parâmetro de penalidade dinamicamente

Artificial Light at Night: A New Challenge in Microphytobenthos Research

Artificial light at night (ALAN) has been recently recognized as a globally widespread anthropogenic disturbance, characterized by different intensities and spectra, as well as spatial and temporal variability. Among marine organisms, those living on coastal areas are particularly exposed to artificial light. Some recent studies anticipated a potential for influences of ALAN on microphytobenthos (MPB) on rocky shores, either direct or indirectly mediated by trophic relationships. Here we emphasize the need for further investigations in different habitats, as well as on synergistic interferences with other stressors already impinging on coastal areas. The study of effects of ALAN poses new challenges in MPB research, including those related to the use of instruments for measuring both the light environment and the functioning of microbial photoautotrophs at night, and to the development of common monitoring approaches and manipulative experiments

Derivative-free optimization and filter methods to solve nonlinear constrained problems

In real optimization problems, usually the analytical expression of the objective function is not known, nor its derivatives, or they are complex. In these cases it becomes essential to use optimization methods where the calculation of the derivatives, or the verification of their existence, is not necessary: the Direct Search Methods or Derivative-free Methods are one solution. When the problem has constraints, penalty functions are often used. Unfortunately the choice of the penalty parameters is, frequently, very difficult, because most strategies for choosing it are heuristics strategies. As an alternative to penalty function appeared the filter methods. A filter algorithm introduces a function that aggregates the constrained violations and constructs a biobjective problem. In this problem the step is accepted if it either reduces the objective function or the constrained violation. This implies that the filter methods are less parameter dependent than a penalty function. In this work, we present a new direct search method, based on simplex methods, for general constrained optimization that combines the features of the simplex method and filter methods. This method does not compute or approximate any derivatives, penalty constants or Lagrange multipliers. The basic idea of simplex filter algorithm is to construct an initial simplex and use the simplex to drive the search. We illustrate the behavior of our algorithm through some examples. The proposed methods were implemented in Java

Derivative-free nonlinear optimization filter simplex

The filter method is a technique for solving nonlinear programming problems. The filter algorithm has two phases in each iteration. The first one reduces a measure of infeasibility, while in the second the objective function value is reduced. In real optimization problems, usually the objective function is not differentiable or its derivatives are unknown. In these cases it becomes essential to use optimization methods where the calculation of the derivatives or the verification of their existence is not necessary: direct search methods or derivative-free methods are examples of such techniques. In this work we present a new direct search method, based on simplex methods, for general constrained optimization that combines the features of simplex and filter methods. This method neither computes nor approximates derivatives, penalty constants or Lagrange multipliers

Anesthetizing solar-powered sea slugs for photobiological studies

Photosynthetic sea slugs have the ability to "steal" chloroplasts (kleptoplasts) from marine macroalgae and keep them structurally intact and physiologically functional. The photosynthetic activity of these symbioses has been assessed using pulse amplitude modulated (PAM) fluorometry. However, the movement of these sacoglossan slugs can impair specific photobiological studies on kleptoplasts. Thus, immobilizing sacoglossan slugs while not interfering with the photosynthetic activity would be a methodological advance for research in this field. We evaluated the effect of two anesthetics, eugenol and MS-222, on the photosynthetic activity of kleptoplasts and on the behavior of the kleptoplasts-bearing slug Elysia viridis. Anesthetics promoted relaxation of sea slug muscle with no touch reaction in about 6 min. Sea slugs immobilized for 120 min completely recovered after anesthetic removal. No significant differences were found on photosynthetic parameters measured immediately (0-1 min) after immobilization. The effective quantum yield of photosystem II of E. viridis after 120 min of immobilization was significantly decreased by 12% in the MS-222 treatment, while eugenol promoted no significant effect. Photosynthetic activity assessed by rapid light-response curves (RLC) of relative electron transport rates (rETR) revealed a significant decrease in both initial response to light (-34%) and maximum rETR (rETR(m)) (-60%), after 120 min of immobilization using MS-222. After 120 min of immobilization with eugenol, the initial response to light significantly decreased 15% and rETR(m) decreased 27%. We conclude that, whenever photobiological studies employing PAM fluorometry require immobilization of photosynthetic sea slugs, eugenol can be used as a powerful anesthetic with little impact on the photosynthetic activity of kleptoplasts.publishe

Pedro Penim e o Teatro Praga: a responsabilidade máxima do actor

Entrevista a Pedro Penim

Pedro Penim e o Teatro Praga: a responsabilidade máxima do actor

info:eu-repo/semantics/publishedVersio

Research methodologies focused on urban planning and mathematical issues

This article aims to present an interdisciplinary approach about the research methodologies used at the civil engineering research field, in the domains of urban planning and mathematics. Actually, there are some similarities in between the research process features of urban planning and mathematics. In fact, these both scientific subjects follow analogous tasks in their research process, which have the same starting point with the definition of the research problem and the final phase, based on the proposed solution. It joins scholars from the department of civil engineering and architecture, experts in spatial analysis and scholars form the department of mathematics of the University of Beira Interior. Two case studies will be presented as examples of the application of these methodological approaches, both of them focused on the urban planning researches, associated with postgraduate teachings, one is related to a PhD thesis and the other one relates to a master degree dissertation.info:eu-repo/semantics/publishedVersio