Adversarial Robustness Assessment of NeuroEvolution Approaches

NeuroEvolution automates the generation of Artificial Neural Networks through the application of techniques from Evolutionary Computation. The main goal of these approaches is to build models that maximize predictive performance, sometimes with an additional objective of minimizing computational complexity. Although the evolved models achieve competitive results performance-wise, their robustness to adversarial examples, which becomes a concern in security-critical scenarios, has received limited attention. In this paper, we evaluate the adversarial robustness of models found by two prominent NeuroEvolution approaches on the CIFAR-10 image classification task: DENSER and NSGA-Net. Since the models are publicly available, we consider white-box untargeted attacks, where the perturbations are bounded by either the L2 or the Linfinity-norm. Similarly to manually-designed networks, our results show that when the evolved models are attacked with iterative methods, their accuracy usually drops to, or close to, zero under both distance metrics. The DENSER model is an exception to this trend, showing some resistance under the L2 threat model, where its accuracy only drops from 93.70% to 18.10% even with iterative attacks. Additionally, we analyzed the impact of pre-processing applied to the data before the first layer of the network. Our observations suggest that some of these techniques can exacerbate the perturbations added to the original inputs, potentially harming robustness. Thus, this choice should not be neglected when automatically designing networks for applications where adversarial attacks are prone to occur

References, authors, journals and scientific disciplines underlying the sustainable development literature: a citation analysis

This paper identifies the main references, authors and journals influencing the sustainable development literature. The task is accomplished by means of a citation analysis based on the records of ISI Web of Science. We found that the core of sustainability thinking is framed by a pattern of landmark studies published around every 5 years. Only 380 publications have been cited at least ten times. References with the highest influence are those with a global dimension and large diffusion, such as Brundtland Commission’s ‘‘Our common future’’ (1987) and classics such as Meadows’ et al. ‘‘Limits to growth’’ (1972). The list of the most influential references over the period 1960–2005 is dominated by contributions from economics (particularly ecological economics) and environmental science, but includes many other disciplines such as urban planning, political sciences and sociology. References are also made to policy documents such as ‘‘Agenda 21’’, one of the main outcomes of the Rio Summit in 1992. In analyzing citation trends, we found that ‘classics’, because of their high rates of citations per year, seem to have a more enduring and stable influence.This paper was written as part of a PhD research. The authors would like to credit the financial support provided by Fundacao para a Ciencia e Tecnologia (the Portuguese research foundation) under scholarship SFRH/BD/18588/2004 and project PTDC/ECM/73069/2006

Naturbanization and sustainability in the National Park of Peneda-Gerês

This paper introduces territorial sustainability in general and within European and Portuguese guidelines for planning and action, namely to regulate the urbanization and urban expansion processes. This topic is relevant to discuss the dynamics of urbanization and urban sprawl in rural areas of Northern Portugal integrated in and around the National Park of Peneda- Gerês, the park with the highest classification in the whole country. These dynamics relate to changes that have been re-occurring over the last fifteen years with consequences on shifts in land-use patterns, urban settlements and economic development trends. The analysis, based on the concepts of “naturbanization” and “counterurbanization”, shows some evidence of both processes. One municipality partially comprised within the National Park is selected as case study to be further analyzed, providing deeper insight of the urbanization trends as measured by development control indicators

Worst-case responses estimate impact on pareto front

Trabalho apresentado na 2nd International Conference on Applied Mathematics, Simulation and Modelling, 6-7 agosto 2017, Phuket, ThailandFor a reasoned decision-making in multiresponse problems, it is important to investigate how consistent the Pareto Frontier is to responses estimation uncertainty. To investigate the impact of this uncertainty source on the Pareto frontier, solutions achieved from the worst and mean responses estimate were generated and compared. Results are displayed graphically and a metric is used to select an optimal solution.N/

Bi-Objective Optimization Problems—A Game Theory Perspective to Improve Process and Product

Publisher Copyright: © 2022 by the authors. This research received no external funding.Cost-effective manufacturing processes or products are no longer the only requirements for business sustainability. An approach based on Game Theory is suggested to find solutions for bi-objective problems. In particular, Stackelberg’s technique is employed and complemented with the Factors Scaling tool to help the users in defining its strategy for optimizing process and product quality characteristics. No subjective information (shape factors, weights, and/or any other preference information) is required from the users, and basic computational background is enough for implementing it. Two case studies provide evidence that the suggested easy-to-use approach can yield nondominated solutions from a small number of Leader–Follower cycles, what reinforces its usefulness for bi-objective optimization problems.publishersversionpublishe

Optimal choice between even- and uneven-aged forestry: the case of non-industrial private forest owners

An infinite-horizon discrete time model with multiple size-class structures using a transition matrix is built to assess optimal harvesting schedules in the context of Non-Industrial Private Forest (NIPF) owners. Three model specifications accounting for forest income, financial return on an asset and amenity valuations are considered. Numerical simulations suggest uneven-aged forest management where a rational forest owner adapts her or his forest policy by influencing the regeneration of trees or adjusting consumption dynamics depending on subjective time preference and market return rate dynamics on the financial asset. Moreover she or he does not value significantly non-market benefits captured by amenity valuations relatively to forest income.NSBE - UN

Assessing the resilience of optimal solutions in multiobjective problems

Publisher Copyright: © 2023 The AuthorsProcesses and products are multidimensional so researchers and practitioners have to solve problems with multiple objectives frequently. These problems have, in general, responses in conflict so they do not have a unique solution. Different approaches have been proposed in the literature to solve these problems, but many of them, including the popular desirability function approach, are not employed with the focus on the generation of Pareto frontiers. In addition, it is important to stress that some Pareto solutions may not yield the expected outcome(s) when implemented in practice. Thus, to avoid wasting resources and time in implementing a theoretical solution which does not produce the expected outcome(s), in this paper is proposed a novel metric to assess the resilience of Pareto solutions. This way, the decision-maker may identify a solution less sensitive to changes in the variables setting when their values are implemented in production process (equipments) or during its operation. Metric usefulness is illustrated using a case study, and results analysis is complemented with plots that facilitate the decision-making process.publishersversionpublishe