Search Results - "Eiben, A.E."
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1
Parameter tuning for configuring and analyzing evolutionary algorithms
Published in Swarm and evolutionary computation (01-03-2011)“…In this paper we present a conceptual framework for parameter tuning, provide a survey of tuning methods, and discuss related methodological issues. The…”
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Real-World Robot Evolution: Why Would it (not) Work?
Published in Frontiers in robotics and AI (27-07-2021)“…This paper takes a critical look at the concept of real-world robot evolution discussing specific challenges for making it practicable. After a brief review of…”
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Assessment of temporal predictive models for health care using a formal method
Published in Computers in biology and medicine (01-08-2017)“…Abstract Recent developments in the field of sensor devices provide new possibilities to measure a variety of health related aspects in a precise and…”
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Parameter control in evolutionary algorithms
Published in IEEE transactions on evolutionary computation (01-07-1999)“…The issue of controlling values of various parameters of an evolutionary algorithm is one of the most important and promising areas of research in evolutionary…”
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Comparing evolutionary algorithms on binary constraint satisfaction problems
Published in IEEE transactions on evolutionary computation (01-10-2003)“…Constraint handling is not straightforward in evolutionary algorithms (EAs) since the usual search operators, mutation and recombination, are 'blind' to…”
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Introduction to Evolutionary Computing
Published in Assembly Automation (01-09-2004)Get full text
Journal Article Book Review -
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Moonwalkers: Evolving Robots for Locomotion in a Moon-like Environment
Published in 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (05-12-2021)“…Robots are arguably essential for space research in the future, but designing and producing robots for unknown environments represents a grand challenge. The…”
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Conference Proceeding -
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Towards a human-like movements generator based on environmental features
Published in 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (01-12-2020)“…Modelling realistic human behaviour in simulation is an ongoing challenge that sits between several fields like social sciences, philosophy, and artificial…”
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Conference Proceeding -
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The Effects of Adaptive Control on Learning Directed Locomotion
Published in 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (01-12-2020)“…This study is motivated by evolutionary robot systems where robot bodies and brains evolve simultaneously. In such systems robot 'birth' must be followed by…”
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Conference Proceeding -
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Influences of Artificial Speciation on Morphological Robot Evolution
Published in 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (01-12-2020)“…One key challenge in Evolutionary Robotics (ER) is to evolve morphology and controllers of robots. Most experiments in the field converge rapidly to a single…”
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Conference Proceeding -
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Robotic task affects the resulting morphology and behaviour in evolutionary robotics
Published in 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (01-12-2020)“…In evolution, the evolutionary success of individuals is influenced in equal parts by the environment they are living in and by the adapting capability that…”
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Conference Proceeding -
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Time efficiency in optimization with a bayesian-Evolutionary algorithm
Published in Swarm and evolutionary computation (01-03-2022)“…•We address time efficiency further to traditional data efficiency to evaluate generate-and-test style optimization algorithms and a precise way to measure…”
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13
Learning directed locomotion in modular robots with evolvable morphologies
Published in Applied soft computing (01-11-2021)“…The vision behind this paper looks ahead to evolutionary robot systems where morphologies and controllers are evolved together and ‘newborn’ robots undergo a…”
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14
Generation of Human-Like Movements Based on Environmental Features
Published in 2019 IEEE Symposium Series on Computational Intelligence (SSCI) (01-12-2019)“…Modelling human behaviour in simulation is still an ongoing challenge that spaces between several fields like social science, artificial intelligence, and…”
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Conference Proceeding -
15
Learning locomotion skills in evolvable robots
Published in Neurocomputing (Amsterdam) (10-09-2021)“…The challenge of robotic reproduction – making of new robots by recombining two existing ones – has been recently cracked and physically evolving robot systems…”
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Co-optimizing for task performance and energy efficiency in evolvable robots
Published in Engineering applications of artificial intelligence (01-08-2022)“…Evolutionary robotics is concerned with optimizing autonomous robots for one or more specific tasks. Remarkably, the energy needed to operate autonomously is…”
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Unsupervised identification and recognition of situations for high-dimensional sensori-motor streams
Published in Neurocomputing (Amsterdam) (01-11-2017)“…An important question in self-learning robots is how robots can autonomously learn about and act in their environment in an on-line and unsupervised manner…”
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Comparing parameter tuning methods for evolutionary algorithms
Published in 2009 IEEE Congress on Evolutionary Computation (01-05-2009)“…Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is,…”
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Conference Proceeding -
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Combining environment-driven adaptation and task-driven optimisation in evolutionary robotics
Published in PloS one (05-06-2014)“…Embodied evolutionary robotics is a sub-field of evolutionary robotics that employs evolutionary algorithms on the robotic hardware itself, during the…”
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End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning
Published in IEEE/WIC/ACM International Conference on Web Intelligence (14-10-2019)“…We introduce an end-to-end reinforcement learning (RL) solution for the problem of sending personalized digital health interventions. Previous work has shown…”
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Conference Proceeding