64 documents found, page 1 of 7
All You Need is Sex for Diversity
Simões, José Maria; Lourenço, Nuno; Machado, PenousalMaintaining genetic diversity as a means to avoid premature convergence is critical in Genetic Programming. Several approaches have been proposed to achieve this, with some focusing on the mating phase from coupling dissimilar solutions to some form of self-adaptive selection mechanism. In nature, genetic diversity can be the consequence of many di erent factors, but when considering reproduction Sexual Selecti...
Automatic Design of Telecom Networks with Genetic Algorithms
Correia, João; Gama, Gustavo; Guerrinha, João Tiago; Cadime, Ricardo; Antero Carvalhido, Pedro; Vieira, Tiago; Lourenço, NunoWith the increasing demand for high-quality internet ser- vices, deploying GPON/Fiber-to-the-Home networks is one of the biggest challenges that internet providers have to deal with due to the signi - cant investments involved. Automated network design usage becomes more critical to aid with planning the network by minimising the costs of planning and deployment. The main objective is to tackle this problem of ...
Reducing the Price of Stable Cable Stayed Bridges with CMA-ES
Fernandes, Gabriel; Lourenço, Nuno; Correia, JoãoThe design of cable-stayed bridges requires the determination of several design variables’ values. Civil engineers usually perform this task by hand as an iteration of steps that stops when the engineer is happy with both the cost and maintaining the structural constraints of the solution. The problem’s difficulty arises from the fact that changing a variable may affect other variables, meaning that they are no...
Context Matters: Adaptive Mutation for Grammars
Carvalho, Pedro; Mégane, Jessica; Lourenço, Nuno; Machado, PenousalThis work proposes Adaptive Facilitated Mutation, a selfadaptive mutation method for Structured Grammatical Evolution (SGE), biologically inspired by the theory of facilitated variation. In SGE, the genotype of individuals contains a list for each non-terminal of the grammar that de nes the search space. In our proposed mutation, each individual contains an array with a di erent, self-adaptive mutation rate for...
SPENSER: Towards a NeuroEvolutionary Approach for Convolutional Spiking Neural ...
Branquinho, Henrique; Lourenço, Nuno; Costa, ErnestoSpiking Neural Networks (SNNs) have attracted recent interest due to their energy efficiency and biological plausibility. However, the performance of SNNs still lags behind traditional Artificial Neural Networks (ANNs), as there is no consensus on the best learning algorithm for SNNs. Best-performing SNNs are based on ANN to SNN conversion or learning with spike-based backpropagation through surrogate gradients...
DeepPlacer: A Custom Integrated OpAmp Placement Tool using Deep Models
Gusmão, António; Póvoa, Ricardo; Horta, Nuno; Lourenço, Nuno; Martins, RicardoMechanisms towards the automatic analog integrated circuit layout design have been an intensive research topic in the past few decades. Still, the industrial environment has no automatic approach established. The advances of machine learning applications in electronic design automation come with the promise to change this reality. This paper proposes a deep learning generative model for the placement ‘‘optimiza...
Shortening the Gap between Pre- and Post-Layout Analog IC Performance by Reduci...
Martins, Ricardo; Lourenço, Nuno; Póvoa, Ricardo; Horta, NunoThe design of analog and mixed-signal integrated circuits (ICs) is intricate due to the continuous nature of the signals handled. Still, it is also strongly affected by the physical implementation of analog devices on the circuits’ layout. The circuit layout corresponds to the physical implementation of an analog IC used in fabrication that describes its devices geometrically. As circuits’ integration and devic...
Fast-DENSER: Fast Deep Evolutionary Network Structured Representation
Assunção, Filipe; Lourenço, Nuno; Ribeiro, Bernardete; Machado, PenousalThis paper introduces a grammar-based general purpose framework for the automatic search and deployment of potentially Deep Artificial Neural Networks (DANNs). The approach is known as Fast Deep Evolutionary Network Structured Representation (Fast-DENSER) and is capable of simultaneously optimising the topology, learning strategy and any other required hyper-parameters (e.g., data pre-processing or augmentation...
ELEGANT: Security of Critical Infrastructures With Digital Twins
Sousa, Bruno; Arieiro, Miguel; Pereira, Vasco; Correia, João; Lourenço, Nuno; Cruz, TiagoThe past years have witnessed an increasing interest and concern regarding the development of security monitoring and management mechanisms for Critical Infrastructures, due to their vital role in ensuring the availability of many essential services. This task is not easy due to the speci c characteristics of such systems, and the natural resistance of Critical Infrastructures operators against actions implying...
When Two are Better Than One: Synthesizing Heavily Unbalanced Data
Ferreira, Francisco; Lourenço, Nuno; Cabral, Bruno; Fernandes, João PauloNowadays, data is king and if treated and used properly it promises to give organizations a competitive edge over rivals by enabling them to develop and design Intelligent Systems to improve their services. However, they need to fully comply with not only ethical but also regulatory obligations, where, e.g., privacy (strictly) needs to be respected when using or sharing data, thus protecting both the interests ...