Concept

Genetic representation

Publications associées (32)

Redesigning Water Distribution Networks Using a Guided Evolutionary Approach

Anton Schleiss, José Pedro Gamito de Saldanha Calado Matos

The paper describes and discusses the application of a guided evolutionary approach for the optimization of water distribution networks. Initially developed for the Battle of the Water Networks II (BWN-II), the approach was adapted and improved for competi ...

American Society of Civil Engineers2016

On the (un) predictability of a large intragenic fitness landscape

Jeffrey David Jensen, Claudia Bank, Sebastian Matuszewski

The study of fitness landscapes, which aims at mapping genotypes to fitness, is receiving ever-increasing attention. Novel experimental approaches combined with next-generation sequencing (NGS) methods enable accurate and extensive studies of the fitness e ...

Natl Acad Sciences2016

A green productivity based process planning system for a machining process

Ian Anthony Stroud

In the metal cutting industry, manufacturers have strived to increase energy efficiency and to reduce environmental burdens through the use of dust collectors and waste disposers. It is more beneficial and efficient to apply the front-of-pipe technology th ...

Taylor & Francis Ltd2015

Catch Me if You Can: Adaptation from Standing Genetic Variation to a Moving Phenotypic Optimum

Sebastian Matuszewski

Adaptation lies at the heart of Darwinian evolution. Accordingly, numerous studies have tried to provide a formal framework for the description of the adaptive process. Of these, two complementary modeling approaches have emerged: While so-called adaptive- ...

2015

Evolving team compositions by agent swapping

Dario Floreano, Laurent Keller, Pawel Lichocki

Optimizing collective behavior in multiagent systems requires algorithms to find not only appropriate individual behaviors but also a suitable composition of agents within a team. Over the last two decades, evolutionary methods have been shown to be a prom ...

Institute of Electrical and Electronics Engineers2013

Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting

Andreas Krause, Matthias Seeger

Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multiarmed bandit problem, where the payoff function is either sampled from a Gaussian process (GP) or has low norm in a reproducing ...

Institute of Electrical and Electronics Engineers2012

The genome of Dehalobacter restrictus - high gene redundancy for a restricted metabolism

Christof Holliger, Julien Maillard, Aamani Rupakula Boyanapalli, Hauke Smidt

Organohalide respiration (OHR) is a bacterial anaerobic respiratory metabolism dedicated to use halogenated compounds as terminal electron acceptors. OHR bacteria are strictly anaerobic microorganisms which use reductive dehalogenases (RdhA) as key enzymes ...

2012

Genetic Representation of Adaptive Neural Controllers

Peter Dürr

The manual design of adaptive controllers for robotic systems that face unpredictable environmental changes is often challenging. There is thus a growing interest in the development of automatic design tools to assist control engineers. One of the most com ...

EPFL2011

Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Andreas Krause, Matthias Seeger

Omnipress2010

Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Andreas Krause, Matthias Seeger

Many applications require optimizing an unknown, noisy function that is expensive to evaluate. We formalize this task as a multi-armed bandit problem, where the payoff function is either sampled from a Gaussian process (GP) or has low RKHS norm. We resolve ...

2010

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