Genetic Programming
20th European Conference, EuroGP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings
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11 Result(s)
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Evert Haasdijk
Algorithm Analysis and Problem Complexity
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Chapter and Conference Paper
Search Space Analysis of Evolvable Robot Morphologies
We present a study on morphological traits of evolved modular robots. We note that the evolutionary search space –the set of obtainable morphologies– depends on the given representation and reproduction operat...
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Chapter and Conference Paper
Directed Locomotion for Modular Robots with Evolvable Morphologies
Morphologically evolving robot systems need to include a learning period right after ‘birth’ to acquire a controller that fits the newly created body. In this paper, we investigate learning one skill in partic...
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Book and Conference Proceedings
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Chapter and Conference Paper
Predicting Individual Trip Destinations with Artificial Potential Fields
This paper presents a method to model the intended destination of a subject in real time, based on a trace of position information and prior knowledge of possible destinations. In contrast to most work in this...
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Chapter and Conference Paper
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO
The design of spacecraft trajectories for missions visiting multiple celestial bodies is here framed as a multi-objective bilevel optimization problem. A comparative study is performed to assess the performanc...
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Chapter and Conference Paper
Tutorials at PPSN 2016
PPSN 2016 hosts a total number of 16 tutorials covering a broad range of current research in evolutionary computation. The tutorials range from introductory to advanced and specialized but can all be attended ...
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Chapter and Conference Paper
On-line Evolution of Foraging Behaviour in a Population of Real Robots
This paper describes a study in evolutionary robotics conducted completely in hardware without using simulations. The experiments employ on-line evolution, where robot controllers evolve on-the-fly in the robo...
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Chapter and Conference Paper
Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-Representation
In this work we investigate the usage of feedforward neural networks for defining the genotype-phenotype maps of arbitrary continuous optimization problems. A study is carried out over the neural network param...
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Chapter and Conference Paper
MONEE: Using Parental Investment to Combine Open-Ended and Task-Driven Evolution
This paper is inspired by a vision of self-sufficient robot collectives that adapt autonomously to deal with their environment and to perform user-defined tasks at the same time. We introduce the monee algorithm ...
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Chapter and Conference Paper
It’s Fate: A Self-organising Evolutionary Algorithm
We introduce a novel evolutionary algorithm where the centralized oracle –the selection-reproduction loop– is replaced by a distributed system of Fate Agents that autonomously perform the evolutionary operations....
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Chapter and Conference Paper
An On-Line On-Board Distributed Algorithm for Evolutionary Robotics
Imagine autonomous, self-sufficient robot collectives that can adapt their controllers autonomously and self-sufficiently to learn to cope with situations unforeseen by their designers. As one step towards the...
