Publications related to Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed

An Optimal Planning Framework to Deploy Self-Reconfigurable Modular Robots

Auke Ijspeert, Mehmet Hasan Mutlu, Simon Lukas Hauser, Hala Khodr, Alexandre Bernardino

Self-reconfiguration is a hard problem due to the high dimensionality of self-reconfigurable modular systems. Searchbased approaches offer complete and optimal solutions. However, naive search algorithms cannot directly solve self-reconfiguration tasks in ...

2019

Scalable Convex Optimization Methods for Semidefinite Programming

Alp Yurtsever

With the ever-growing data sizes along with the increasing complexity of the modern problem formulations, contemporary applications in science and engineering impose heavy computational and storage burdens on the optimization algorithms. As a result, there ...

EPFL2019

Integration of passenger satisfaction in railway timetable rescheduling for major disruptions

Stefan Yves Gabriel Binder

Unexpected disruptions occur for many reasons in railway networks and cause delays, cancellations, and, eventually, passenger inconvenience. This thesis focuses on the railway timetable rescheduling problem from a macroscopic point of view in case of lar ...

EPFL2018

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

Michaël Unser, Martin Kurt Storath

We consider

L ^{ 1 }

-TV regularization of univariate signals with values on the real line or on the unit circle. While the real data space leads to a convex optimization problem, the problem is nonconvex for circle-valued data. In this paper, we deriv ...

SIAM2016

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Henry Markram, Eilif Benjamin Muller, Idan Segev, Werner Alfons Hilda Van Geit, Jean-Denis Georges Emile Courcol, Giuseppe Chindemi, Michael Emiel Gevaert

At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parametrising such models to conform to the multitude of available experimental constraints is a global nonlinear optimisation problem with a comple ...

Frontiers Research Foundation2016

Optimization of a Vircator using a novel evolutionary algorithm designed to reducing the number of evaluations

This paper presents an optimization of a virtual cathode oscillator (Vircator) with axial extraction using a novel evolutionary algorithm (EA) thought to reduce the number of evaluations. The EA was tested on a Vircator optimization with two objective func ...

IEEE2015

BI-population CMA-ES Algorithms with Surrogate Models and Line Searches

Ilya Loshchilov

In this paper, we study the performance of NIPOP-aCMA- ES and NBIPOP-aCMA-ES, recently proposed alternative restart strategies for CMA-ES. Both algorithms were tested using restarts till a total number of function evaluations of 106D was reached, where D i ...

2013

Interchangeability with thresholds and degradation factors for Soft CSPs

Boi Faltings, Nicoleta Neagu

Substitutability and interchangeability in constraint satisfaction problems (CSPs) have been used as a basis for search heuristics, solution adaptation and abstraction techniques. In this paper, we consider how the same concepts can be extended to soft con ...

Springer2013

Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed

Ilya Loshchilov

In this paper, we study the performance of IPOP-saACM-ES and BIPOP-saACM-ES, recently proposed self-adaptive surrogate-assisted Covariance Matrix Adaptation Evolution Strategies. Both algorithms were tested using restarts till a total number of function ev ...

2012

Black-box Optimization Benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 Noiseless Testbed

Ilya Loshchilov

In this paper, we study the performance of NIPOP-aCMA-ES and NBIPOP-aCMA-ES, recently proposed alternative restart strategies for CMA-ES. Both algorithms were tested using restarts till a total number of function evaluations of

10^6D

was reached, where $ ...

2012

Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed

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An Optimal Planning Framework to Deploy Self-Reconfigurable Modular Robots

Scalable Convex Optimization Methods for Semidefinite Programming

Integration of passenger satisfaction in railway timetable rescheduling for major disruptions

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Optimization of a Vircator using a novel evolutionary algorithm designed to reducing the number of evaluations

BI-population CMA-ES Algorithms with Surrogate Models and Line Searches

Interchangeability with thresholds and degradation factors for Soft CSPs

Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed

Black-box Optimization Benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 Noiseless Testbed

An Optimal Planning Framework to Deploy Self-Reconfigurable Modular Robots

Optimization of a Vircator using a novel evolutionary algorithm designed to reducing the number of evaluations

BI-population CMA-ES Algorithms with Surrogate Models and Line Searches

Black-box Optimization Benchmarking of NIPOP-aCMA-ES and NBIPOP-aCMA-ES on the BBOB-2012 Noiseless Testbed

Integration of passenger satisfaction in railway timetable rescheduling for major disruptions

Interchangeability with thresholds and degradation factors for Soft CSPs

Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed

Exact Algorithms for $ L ^{ 1 } $ -TV Regularization of Real-Valued or Circle-Valued Signals

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

Scalable Convex Optimization Methods for Semidefinite Programming