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04/03/2023
Self-building Neural Networks
During the first part of life, the brain develops while it learns throug...
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08/17/2022
Quality Diversity Evolutionary Learning of Decision Trees
Addressing the need for explainable Machine Learning has emerged as one ...
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08/10/2022
The emergence of division of labor through decentralized social sanctioning
Human ecological success relies on our characteristic ability to flexibl...
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06/24/2022
Reinforcement learning based adaptive metaheuristics
Parameter adaptation, that is the capability to automatically adjust an ...
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04/27/2022
Online Distributed Evolutionary Optimization of Time Division Multiple Access Protocols
With the advent of cheap, miniaturized electronics, ubiquitous networkin...
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04/13/2022
Large-scale multi-objective influence maximisation with network downscaling
Finding the most influential nodes in a network is a computationally har...
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04/08/2022
Interpretable AI for policy-making in pandemics
Since the first wave of the COVID-19 pandemic, governments have applied ...
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02/10/2022
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs
The importance of explainability in AI has become a pressing concern, fo...
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04/30/2021
Black-box adversarial attacks using Evolution Strategies
In the last decade, deep neural networks have proven to be very powerful...
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04/30/2021
Graph-Aware Evolutionary Algorithms for Influence Maximization
Social networks represent nowadays in many contexts the main source of i...
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04/25/2021
Seeking Quality Diversity in Evolutionary Co-design of Morphology and Control of Soft Tensegrity Modular Robots
Designing optimal soft modular robots is difficult, due to non-trivial i...
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03/31/2021
A Framework for Knowledge Integrated Evolutionary Algorithms
One of the main reasons for the success of Evolutionary Algorithms (EAs)...
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03/31/2021
A Signal-Centric Perspective on the Evolution of Symbolic Communication
The evolution of symbolic communication is a longstanding open research ...
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03/12/2021
Genetic Improvement of Routing Protocols for Delay Tolerant Networks
Routing plays a fundamental role in network applications, but it is espe...
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12/14/2020
Evolutionary learning of interpretable decision trees
Reinforcement learning techniques achieved human-level performance in se...
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07/09/2020
EVO-RL: Evolutionary-Driven Reinforcement Learning
In this work, we propose a novel approach for reinforcement learning dri...
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03/28/2020
Distributed Embodied Evolution in Networks of Agents
In most network problems, the optimum behaviors of agents in the network...
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02/10/2020
Novelty Producing Synaptic Plasticity
A learning process with the plasticity property often requires reinforce...
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05/15/2019
Regularized Evolutionary Algorithm for Dynamic Neural Topology Search
Designing neural networks for object recognition requires considerable a...
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04/02/2019
Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions
A fundamental aspect of learning in biological neural networks (BNNs) is...
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03/22/2019
Learning with Delayed Synaptic Plasticity
The plasticity property of biological neural networks allows them to per...
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02/02/2019
Evaluating MAP-Elites on Constrained Optimization Problems
Constrained optimization problems are often characterized by multiple co...
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10/11/2018
Multi-Strategy Coevolving Aging Particle Optimization
We propose Multi-Strategy Coevolving Aging Particles (MS-CAP), a novel p...
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10/05/2018
Distributed optimization in wireless sensor networks: an island-model framework
Wireless Sensor Networks (WSNs) is an emerging technology in several app...
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09/12/2018
Compact Optimization Algorithms with Re-sampled Inheritance
Compact optimization algorithms are a class of Estimation of Distributio...
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04/19/2018
