Concept

Symbolic regression

Related publications (9)

Probabilistic methods for neural combinatorial optimization

The monumental progress in the development of machine learning models has led to a plethora of applications with transformative effects in engineering and science. This has also turned the attention of the research community towards the pursuit of construc ...

EPFL2023

Population pharmacokinetic model selection assisted by machine learning

Jan Sickmann Hesthaven, Nadia Terranova

A fit-for-purpose structural and statistical model is the first major requirement in population pharmacometric model development. In this manuscript we discuss how this complex and computationally intensive task could benefit from supervised machine learni ...

SPRINGER/PLENUM PUBLISHERS2021

Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Datase

Davide Scaramuzza, Titus Cieslewski

Despite impressive results in visual-inertial state estimation in recent years, high speed trajectories with six degree of freedom motion remain challenging for existing estimation algorithms. Aggressive trajectories feature large accelerations and rapid r ...

2019

Modified parameter-setting-free harmony search (PSFHS) algorithm for optimizing the design of reinforced concrete beams

Mahmoud S. M. Shaqfa

The design of RC members with nontraditional methods is demanding due to the large number of unknown variables inherent in the design process. The complexity of the RC beam design optimization problem has led to many oversimplified models, so that the curr ...

2019

Methodology for the optimal design of an integrated first and second generation ethanol production plant combined with power cogeneration

François Maréchal, Rami Bechara, Jean-Marc Schweitzer

The application of methodologies for the optimal design of integrated processes has seen increased interest in literature. This article builds on previous works and applies a systematic methodology to an integrated first and second generation ethanol produ ...

2016

Pareto-optimal Dictionaries for Signatures

Pascal Fua, Vincent Lepetit, Michael Calonder

We present an effective method to optimize over the parameters of an image patch descriptor to obtain one that is computationally more efficient while maintaining a high recognition rate. We formulate the optimization problem in a multi-objective manner, w ...

IEEE2010

Multi-objective optimisation of remote community energy systems with consideration of noise disturbance

Daniel Favrat, Xavier Pelet, Geoffrey Basil Leyland

A multi-objective evolutionary algorithm developed at the Laboratory of Industrial Energy Systems is used to determine the best technological solutions to satisfy the electrical needs of a remote community. Simulations of the community are based on a super ...

2003

Multi-Criteria Optimization of On-Site Heating, Cooling and Power Generation with Solid Oxide Fuel Cell - Gas Turbine Combined Cycle Units

Daniel Favrat, Meinrad Bürer

The implementation of integrated energy systems within urban areas is a promising CO?2 emissions abatement measure. In this paper on-site heating, cooling and power generation based on a solid oxide fuel cell and gas turbine (SOFC-GT) combined cycle unit a ...

2002

A New Clustering Evolutionary Multi-Objective Optimisation Technique

Daniel Favrat, Adam Molyneaux, Geoffrey Basil Leyland

This paper introduces a multi-objective EA, termed the Clustering Pareto Evolutionary Algorithm (CPEA). The CPEA finds and retains many local Pareto- optimal fronts, rather than just the global front as is the case of most multi- objective EAs found in the ...

2001

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